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Author Topic: How to use local features such as pixel values in a image classification setup?  (Read 838 times)
wessel
Hero Member
*****
Posts: 558


« on: January 14, 2013, 01:58:51 AM »

Dear All,

I'm using the awesome rapid miner image plugin (IMMI).
http://splab.cz/en/research/data-mining/articles

I'm wondering, how to use local features such as pixel values in a image classification setup?

See my project setup below.
If needed I can also provide the data that I'm using.

Best regards,

Wessel


Code:
<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<process version="5.2.008">
  <context>
    <input/>
    <output/>
    <macros/>
  </context>
  <operator activated="true" class="process" compatibility="5.2.008" expanded="true" name="Process">
    <process expanded="true" height="667" width="570">
      <operator activated="true" class="imageprocessing:multiple_color_image_opener" compatibility="1.4.001" expanded="true" height="60" name="MCIO" width="90" x="45" y="30">
        <list key="images">
          <parameter key="6" value="C:\Users\wessel\Desktop\data\6"/>
          <parameter key="7" value="C:\Users\wessel\Desktop\data\7"/>
          <parameter key="8" value="C:\Users\wessel\Desktop\data\8"/>
        </list>
        <parameter key="assign_label" value="true"/>
        <process expanded="true" height="649" width="433">
          <operator activated="true" class="imageprocessing:global_feature_extraction" compatibility="1.4.001" expanded="true" height="60" name="Global Feature Extractor from a Single Image" width="90" x="246" y="30">
            <process expanded="true" height="667" width="433">
              <operator activated="false" class="imageprocessing:statistics" compatibility="1.4.001" expanded="true" height="60" name="Global statistics" width="90" x="45" y="30">
                <parameter key="Center of Mass" value="true"/>
                <parameter key="Thickness" value="196"/>
              </operator>
              <operator activated="false" class="imageprocessing:BIC" compatibility="1.4.001" expanded="true" height="76" name="BIC" width="90" x="45" y="120"/>
              <operator activated="true" class="imageprocessing:histogram" compatibility="1.4.001" expanded="true" height="60" name="histogram" width="90" x="45" y="210">
                <parameter key="Bins" value="232"/>
              </operator>
              <operator activated="false" class="imageprocessing:dLog_distance" compatibility="1.4.001" expanded="true" height="60" name="dLog" width="90" x="179" y="120"/>
              <operator activated="true" class="imageprocessing:color_to_grayscale" compatibility="1.4.001" expanded="true" height="60" name="Color to grayscale" width="90" x="45" y="300"/>
              <operator activated="true" class="imageprocessing:skeletonize" compatibility="1.4.001" expanded="true" height="60" name="Skeletonize" width="90" x="163" y="300"/>
              <operator activated="true" class="imageprocessing:obcf" compatibility="1.4.001" expanded="true" height="60" name="OBCF" width="90" x="313" y="300"/>
              <connect from_port="color image plus 1" to_op="histogram" to_port="color image plus"/>
              <connect from_port="color image plus 2" to_op="Color to grayscale" to_port="color image plus"/>
              <connect from_op="BIC" from_port="grayscale image plus" to_op="dLog" to_port="grayscale image plus Hist"/>
              <connect from_op="histogram" from_port="features" to_port="feature 1"/>
              <connect from_op="Color to grayscale" from_port="grayscale image" to_op="Skeletonize" to_port="grayscale image plus"/>
              <connect from_op="Skeletonize" from_port="grayscale image plus" to_op="OBCF" to_port="grayscale image plus"/>
              <connect from_op="OBCF" from_port="features" to_port="feature 2"/>
              <portSpacing port="source_color image plus 1" spacing="0"/>
              <portSpacing port="source_color image plus 2" spacing="0"/>
              <portSpacing port="source_color image plus 3" spacing="0"/>
              <portSpacing port="sink_feature 1" spacing="162"/>
              <portSpacing port="sink_feature 2" spacing="72"/>
              <portSpacing port="sink_feature 3" spacing="0"/>
            </process>
          </operator>
          <connect from_port="color image plus" to_op="Global Feature Extractor from a Single Image" to_port="color image plus"/>
          <connect from_op="Global Feature Extractor from a Single Image" from_port="example set" to_port="Example set"/>
          <portSpacing port="source_color image plus" spacing="0"/>
          <portSpacing port="sink_Example set" spacing="0"/>
        </process>
      </operator>
      <operator activated="true" class="normalize" compatibility="5.2.008" expanded="true" height="94" name="Normalize" width="90" x="180" y="30"/>
      <operator activated="true" class="optimize_selection_forward" compatibility="5.2.008" expanded="true" height="94" name="Forward Selection" width="90" x="315" y="30">
        <process expanded="true" height="667" width="300">
          <operator activated="true" class="x_validation" compatibility="5.2.008" expanded="true" height="112" name="InnerValidation" width="90" x="45" y="30">
            <process expanded="true" height="667" width="219">
              <operator activated="true" class="weka:W-KStar" compatibility="5.1.001" expanded="true" height="76" name="W-KStar (2)" width="90" x="99" y="30"/>
              <connect from_port="training" to_op="W-KStar (2)" to_port="training set"/>
              <connect from_op="W-KStar (2)" from_port="model" to_port="model"/>
              <portSpacing port="source_training" spacing="0"/>
              <portSpacing port="sink_model" spacing="0"/>
              <portSpacing port="sink_through 1" spacing="0"/>
            </process>
            <process expanded="true" height="667" width="287">
              <operator activated="true" class="apply_model" compatibility="5.2.008" expanded="true" height="76" name="Apply Model (2)" width="90" x="45" y="30">
                <list key="application_parameters"/>
              </operator>
              <operator activated="true" class="performance_classification" compatibility="5.2.008" expanded="true" height="76" name="Performance (2)" width="90" x="167" y="30">
                <list key="class_weights"/>
              </operator>
              <connect from_port="model" to_op="Apply Model (2)" to_port="model"/>
              <connect from_port="test set" to_op="Apply Model (2)" to_port="unlabelled data"/>
              <connect from_op="Apply Model (2)" from_port="labelled data" to_op="Performance (2)" to_port="labelled data"/>
              <connect from_op="Performance (2)" from_port="performance" to_port="averagable 1"/>
              <portSpacing port="source_model" spacing="0"/>
              <portSpacing port="source_test set" spacing="0"/>
              <portSpacing port="source_through 1" spacing="0"/>
              <portSpacing port="sink_averagable 1" spacing="0"/>
              <portSpacing port="sink_averagable 2" spacing="0"/>
            </process>
          </operator>
          <operator activated="true" class="log" compatibility="5.2.008" expanded="true" height="76" name="Log" width="90" x="180" y="30">
            <list key="log">
              <parameter key="p" value="operator.InnerValidation.value.performance"/>
              <parameter key="f" value="operator.Forward Selection.value.feature_names"/>
            </list>
          </operator>
          <connect from_port="example set" to_op="InnerValidation" to_port="training"/>
          <connect from_op="InnerValidation" from_port="averagable 1" to_op="Log" to_port="through 1"/>
          <connect from_op="Log" from_port="through 1" to_port="performance"/>
          <portSpacing port="source_example set" spacing="0"/>
          <portSpacing port="sink_performance" spacing="0"/>
        </process>
      </operator>
      <operator activated="true" class="select_by_weights" compatibility="5.2.008" expanded="true" height="94" name="Select by Weights" width="90" x="450" y="30"/>
      <operator activated="true" class="x_validation" compatibility="5.2.008" expanded="true" height="112" name="Validation" width="90" x="45" y="120">
        <process expanded="true" height="667" width="212">
          <operator activated="true" class="weka:W-KStar" compatibility="5.1.001" expanded="true" height="76" name="W-KStar" width="90" x="112" y="30"/>
          <connect from_port="training" to_op="W-KStar" to_port="training set"/>
          <connect from_op="W-KStar" from_port="model" to_port="model"/>
          <portSpacing port="source_training" spacing="0"/>
          <portSpacing port="sink_model" spacing="0"/>
          <portSpacing port="sink_through 1" spacing="0"/>
        </process>
        <process expanded="true" height="667" width="300">
          <operator activated="true" class="apply_model" compatibility="5.2.008" expanded="true" height="76" name="Apply Model" width="90" x="45" y="30">
            <list key="application_parameters"/>
          </operator>
          <operator activated="true" class="performance_classification" compatibility="5.2.008" expanded="true" height="76" name="Performance" width="90" x="180" y="30">
            <list key="class_weights"/>
          </operator>
          <connect from_port="model" to_op="Apply Model" to_port="model"/>
          <connect from_port="test set" to_op="Apply Model" to_port="unlabelled data"/>
          <connect from_op="Apply Model" from_port="labelled data" to_op="Performance" to_port="labelled data"/>
          <connect from_op="Performance" from_port="performance" to_port="averagable 1"/>
          <portSpacing port="source_model" spacing="0"/>
          <portSpacing port="source_test set" spacing="0"/>
          <portSpacing port="source_through 1" spacing="0"/>
          <portSpacing port="sink_averagable 1" spacing="0"/>
          <portSpacing port="sink_averagable 2" spacing="0"/>
        </process>
      </operator>
      <connect from_op="MCIO" from_port="example set" to_op="Normalize" to_port="example set input"/>
      <connect from_op="Normalize" from_port="example set output" to_op="Forward Selection" to_port="example set"/>
      <connect from_op="Forward Selection" from_port="example set" to_op="Select by Weights" to_port="example set input"/>
      <connect from_op="Forward Selection" from_port="attribute weights" to_op="Select by Weights" to_port="weights"/>
      <connect from_op="Select by Weights" from_port="example set output" to_op="Validation" to_port="training"/>
      <connect from_op="Validation" from_port="averagable 1" to_port="result 1"/>
      <portSpacing port="source_input 1" spacing="0"/>
      <portSpacing port="sink_result 1" spacing="126"/>
      <portSpacing port="sink_result 2" spacing="0"/>
    </process>
  </operator>
</process>
« Last Edit: January 15, 2013, 01:06:47 PM by wessel » Logged
StaryVena
Full Member
***
Posts: 118


WWW
« Reply #1 on: January 14, 2013, 09:06:42 AM »

Hello wessel,
IMMI is not designed to use local features for classification. It is because each local feature means one example. I try to add local features to your process, but I didn't test it.

Code:
<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<process version="5.3.000">
  <context>
    <input/>
    <output/>
    <macros/>
  </context>
  <operator activated="true" class="process" compatibility="5.3.000" expanded="true" name="Process">
    <process expanded="true" height="667" width="570">
      <operator activated="true" class="imageprocessing:multiple_color_image_opener" compatibility="1.3.003" expanded="true" height="60" name="MCIO" width="90" x="45" y="30">
        <list key="images">
          <parameter key="6" value="C:\Users\wessel\Desktop\data\6"/>
          <parameter key="7" value="C:\Users\wessel\Desktop\data\7"/>
          <parameter key="8" value="C:\Users\wessel\Desktop\data\8"/>
        </list>
        <parameter key="assign_label" value="true"/>
        <process expanded="true" height="649" width="614">
          <operator activated="true" class="multiply" compatibility="5.3.000" expanded="true" height="112" name="Multiply" width="90" x="78" y="30"/>
          <operator activated="true" class="imageprocessing:global_feature_extraction" compatibility="1.3.003" expanded="true" height="60" name="Global Feature Extractor from a Single Image" width="90" x="246" y="30">
            <process expanded="true" height="667" width="433">
              <operator activated="true" class="imageprocessing:histogram" compatibility="1.3.003" expanded="true" height="60" name="histogram" width="90" x="45" y="210">
                <parameter key="Bins" value="232"/>
              </operator>
              <operator activated="true" class="imageprocessing:color_to_grayscale" compatibility="1.3.003" expanded="true" height="60" name="Color to grayscale" width="90" x="45" y="300"/>
              <operator activated="true" class="imageprocessing:skeletonize" compatibility="1.3.003" expanded="true" height="60" name="Skeletonize" width="90" x="163" y="300"/>
              <operator activated="true" class="imageprocessing:obcf" compatibility="1.3.003" expanded="true" height="60" name="OBCF" width="90" x="313" y="300"/>
              <connect from_port="color image plus 1" to_op="histogram" to_port="color image plus"/>
              <connect from_port="color image plus 2" to_op="Color to grayscale" to_port="color image plus"/>
              <connect from_op="histogram" from_port="features" to_port="feature 1"/>
              <connect from_op="Color to grayscale" from_port="grayscale image" to_op="Skeletonize" to_port="grayscale image plus"/>
              <connect from_op="Skeletonize" from_port="grayscale image plus" to_op="OBCF" to_port="grayscale image plus"/>
              <connect from_op="OBCF" from_port="features" to_port="feature 2"/>
              <portSpacing port="source_color image plus 1" spacing="0"/>
              <portSpacing port="source_color image plus 2" spacing="0"/>
              <portSpacing port="source_color image plus 3" spacing="0"/>
              <portSpacing port="sink_feature 1" spacing="162"/>
              <portSpacing port="sink_feature 2" spacing="72"/>
              <portSpacing port="sink_feature 3" spacing="0"/>
            </process>
          </operator>
          <operator activated="true" class="imageprocessing:poi_generator" compatibility="1.3.003" expanded="true" height="60" name="Point of interest generator" width="90" x="45" y="210">
            <list key="Points Table"/>
          </operator>
          <operator activated="true" class="imageprocessing:feature_extraction_operator2" compatibility="1.3.003" expanded="true" height="94" name="Local Feature Extractor with Points" width="90" x="246" y="120">
            <parameter key="include_position_filename" value="false"/>
            <parameter key="window_width" value="15"/>
            <parameter key="window_height" value="15"/>
            <process expanded="true" height="502" width="649">
              <operator activated="true" class="imageprocessing:color_to_grayscale" compatibility="1.3.003" expanded="true" height="60" name="Color to grayscale (2)" width="90" x="45" y="30"/>
              <operator activated="true" class="multiply" compatibility="5.3.000" expanded="true" height="148" name="Multiply (2)" width="90" x="179" y="30"/>
              <operator activated="true" class="imageprocessing:minmax" compatibility="1.3.003" expanded="true" height="60" name="minmax" width="90" x="380" y="390"/>
              <operator activated="true" class="imageprocessing:pixel_value" compatibility="1.3.003" expanded="true" height="60" name="PIXV" width="90" x="380" y="300"/>
              <operator activated="true" class="imageprocessing:window_statistics" compatibility="1.3.003" expanded="true" height="60" name="window_statistics" width="90" x="380" y="210"/>
              <operator activated="true" class="imageprocessing:relative_position_operator" compatibility="1.3.003" expanded="true" height="60" name="Relative Position" width="90" x="380" y="30"/>
              <operator activated="true" class="imageprocessing:circle_pixels_extractor" compatibility="1.3.003" expanded="true" height="60" name="CPE" width="90" x="380" y="120"/>
              <connect from_port="image 1" to_op="Color to grayscale (2)" to_port="color image plus"/>
              <connect from_op="Color to grayscale (2)" from_port="grayscale image" to_op="Multiply (2)" to_port="input"/>
              <connect from_op="Multiply (2)" from_port="output 1" to_op="Relative Position" to_port="grayscale image plus"/>
              <connect from_op="Multiply (2)" from_port="output 2" to_op="CPE" to_port="grayscale image plus"/>
              <connect from_op="Multiply (2)" from_port="output 3" to_op="window_statistics" to_port="grayscale image plus"/>
              <connect from_op="Multiply (2)" from_port="output 4" to_op="PIXV" to_port="grayscale image plus"/>
              <connect from_op="Multiply (2)" from_port="output 5" to_op="minmax" to_port="grayscale image plus"/>
              <connect from_op="minmax" from_port="feature" to_port="feature 5"/>
              <connect from_op="PIXV" from_port="feature" to_port="feature 4"/>
              <connect from_op="window_statistics" from_port="feature" to_port="feature 3"/>
              <connect from_op="Relative Position" from_port="feature" to_port="feature 1"/>
              <connect from_op="CPE" from_port="feature" to_port="feature 2"/>
              <portSpacing port="source_image 1" spacing="0"/>
              <portSpacing port="source_image 2" spacing="0"/>
              <portSpacing port="sink_feature 1" spacing="0"/>
              <portSpacing port="sink_feature 2" spacing="0"/>
              <portSpacing port="sink_feature 3" spacing="0"/>
              <portSpacing port="sink_feature 4" spacing="0"/>
              <portSpacing port="sink_feature 5" spacing="0"/>
              <portSpacing port="sink_feature 6" spacing="0"/>
            </process>
          </operator>
          <operator activated="true" class="transpose" compatibility="5.3.000" expanded="true" height="76" name="Transpose" width="90" x="246" y="300"/>
          <operator activated="true" class="generate_data" compatibility="5.3.000" expanded="true" height="60" name="Generate Data" width="90" x="152" y="409">
            <parameter key="number_examples" value="1"/>
            <parameter key="number_of_attributes" value="1"/>
            <parameter key="attributes_lower_bound" value="1.0"/>
            <parameter key="attributes_upper_bound" value="1.0"/>
          </operator>
          <operator activated="true" class="remember" compatibility="5.3.000" expanded="true" height="60" name="Remember" width="90" x="313" y="390">
            <parameter key="name" value="result"/>
            <parameter key="io_object" value="ExampleSet"/>
          </operator>
          <operator activated="true" class="loop_examples" compatibility="5.3.000" expanded="true" height="76" name="Loop Examples" width="90" x="380" y="300">
            <process expanded="true" height="484" width="649">
              <operator activated="true" class="filter_example_range" compatibility="5.3.000" expanded="true" height="76" name="Filter Example Range" width="90" x="45" y="30">
                <parameter key="first_example" value="%{example}"/>
                <parameter key="last_example" value="%{example}"/>
              </operator>
              <operator activated="true" class="recall" compatibility="5.3.000" expanded="true" height="60" name="Recall" width="90" x="246" y="120">
                <parameter key="name" value="result"/>
                <parameter key="io_object" value="ExampleSet"/>
              </operator>
              <operator activated="true" class="rename_by_generic_names" compatibility="5.3.000" expanded="true" height="76" name="Rename by Generic Names" width="90" x="179" y="30">
                <parameter key="include_special_attributes" value="true"/>
                <parameter key="generic_name_stem" value="%{example}att"/>
              </operator>
              <operator activated="true" class="superset" compatibility="5.3.000" expanded="true" height="76" name="Superset (2)" width="90" x="380" y="30"/>
              <operator activated="true" class="remember" compatibility="5.3.000" expanded="true" height="60" name="Remember (2)" width="90" x="514" y="30">
                <parameter key="name" value="result"/>
                <parameter key="io_object" value="ExampleSet"/>
              </operator>
              <connect from_port="example set" to_op="Filter Example Range" to_port="example set input"/>
              <connect from_op="Filter Example Range" from_port="example set output" to_op="Rename by Generic Names" to_port="example set input"/>
              <connect from_op="Recall" from_port="result" to_op="Superset (2)" to_port="example set 2"/>
              <connect from_op="Rename by Generic Names" from_port="example set output" to_op="Superset (2)" to_port="example set 1"/>
              <connect from_op="Superset (2)" from_port="superset 1" to_op="Remember (2)" to_port="store"/>
              <portSpacing port="source_example set" spacing="0"/>
              <portSpacing port="sink_example set" spacing="0"/>
              <portSpacing port="sink_output 1" spacing="0"/>
            </process>
          </operator>
          <operator activated="true" class="recall" compatibility="5.3.000" expanded="true" height="60" name="Recall (2)" width="90" x="380" y="120">
            <parameter key="name" value="result"/>
            <parameter key="io_object" value="ExampleSet"/>
          </operator>
          <operator activated="true" class="superset" compatibility="5.3.000" expanded="true" height="76" name="Superset" width="90" x="514" y="30"/>
          <connect from_port="color image plus" to_op="Multiply" to_port="input"/>
          <connect from_op="Multiply" from_port="output 1" to_op="Global Feature Extractor from a Single Image" to_port="color image plus"/>
          <connect from_op="Multiply" from_port="output 2" to_op="Local Feature Extractor with Points" to_port="color image plus"/>
          <connect from_op="Multiply" from_port="output 3" to_op="Point of interest generator" to_port="img"/>
          <connect from_op="Global Feature Extractor from a Single Image" from_port="example set" to_op="Superset" to_port="example set 1"/>
          <connect from_op="Point of interest generator" from_port="points of interest" to_op="Local Feature Extractor with Points" to_port="points"/>
          <connect from_op="Local Feature Extractor with Points" from_port="example set" to_op="Transpose" to_port="example set input"/>
          <connect from_op="Transpose" from_port="example set output" to_op="Loop Examples" to_port="example set"/>
          <connect from_op="Generate Data" from_port="output" to_op="Remember" to_port="store"/>
          <connect from_op="Recall (2)" from_port="result" to_op="Superset" to_port="example set 2"/>
          <connect from_op="Superset" from_port="superset 1" to_port="Example set"/>
          <portSpacing port="source_color image plus" spacing="0"/>
          <portSpacing port="sink_Example set" spacing="0"/>
        </process>
      </operator>
      <portSpacing port="source_input 1" spacing="0"/>
      <portSpacing port="sink_result 1" spacing="126"/>
    </process>
  </operator>
</process>

It tries to convert example set with 100 examples into one example and then combine it with global features. I think you can design better solution than mine  Smiley

Best,
Václav

P.S.
I deleted some parts because forum message can have "only" 20 000 characters.
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wessel
Hero Member
*****
Posts: 558


« Reply #2 on: January 15, 2013, 02:38:36 AM »

I managed to use local features, but its annoying you have to do a transpose, because after transpose your features are named att_1 to att_N.

I uploaded my data-set here: http://www.few.vu.nl/~wln320/data.zip
This dataset is generated using a CAPTCHA script.
The task is to figure out the number of symbols in the CAPTCHA image (labels: 6-symbols, 7-symbols, 8-symbols).
This data-set is synthetic and free of noise, so a kappa score of 100% should be possible.

Any suggestions what approach would be good for this task?
Using the very simple setup pasted below I managed to get a kappa score of around 0.4 (which corresponds to about 60% accuracy).
I tried an approach similar to eigenfaces which gets a kappa of around 0.5.
Should be possible to get a kappa of at least 0.9.

Best regards,

Wessel

Code:
<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<process version="5.2.008">
  <context>
    <input/>
    <output/>
    <macros/>
  </context>
  <operator activated="true" class="process" compatibility="5.2.008" expanded="true" name="Process">
    <process expanded="true" height="667" width="300">
      <operator activated="true" class="imageprocessing:multiple_color_image_opener" compatibility="1.4.001" expanded="true" height="60" name="MCIO" width="90" x="45" y="30">
        <list key="images">
          <parameter key="6" value="C:\Users\wessel\Desktop\data\6"/>
          <parameter key="7" value="C:\Users\wessel\Desktop\data\7"/>
          <parameter key="8" value="C:\Users\wessel\Desktop\data\8"/>
        </list>
        <parameter key="assign_label" value="true"/>
        <process expanded="true" height="667" width="682">
          <operator activated="true" class="multiply" compatibility="5.2.008" expanded="true" height="94" name="Multiply" width="90" x="45" y="30"/>
          <operator activated="true" class="imageprocessing:poi_generator" compatibility="1.4.001" expanded="true" height="60" name="Point of interest generator" width="90" x="179" y="120">
            <list key="Points Table"/>
          </operator>
          <operator activated="true" class="imageprocessing:feature_extraction_operator2" compatibility="1.4.001" expanded="true" height="94" name="Local Feature Extractor with Points" width="90" x="315" y="30">
            <parameter key="include_position_filename" value="false"/>
            <parameter key="include_position_in_img" value="false"/>
            <parameter key="window_width" value="15"/>
            <parameter key="window_height" value="15"/>
            <process expanded="true" height="667" width="300">
              <operator activated="true" class="imageprocessing:color_to_grayscale" compatibility="1.4.001" expanded="true" height="60" name="Color to grayscale" width="90" x="45" y="30"/>
              <operator activated="true" class="imageprocessing:line_haar_like_feature" compatibility="1.4.001" expanded="true" height="60" name="Line Haar-like feature" width="90" x="180" y="30"/>
              <connect from_port="image 1" to_op="Color to grayscale" to_port="color image plus"/>
              <connect from_op="Color to grayscale" from_port="grayscale image" to_op="Line Haar-like feature" to_port="grayscale image plus"/>
              <connect from_op="Line Haar-like feature" from_port="feature" to_port="feature 1"/>
              <portSpacing port="source_image 1" spacing="0"/>
              <portSpacing port="source_image 2" spacing="0"/>
              <portSpacing port="sink_feature 1" spacing="0"/>
              <portSpacing port="sink_feature 2" spacing="0"/>
            </process>
          </operator>
          <operator activated="true" class="transpose" compatibility="5.2.008" expanded="true" height="76" name="Transpose" width="90" x="498" y="30"/>
          <connect from_port="color image plus" to_op="Multiply" to_port="input"/>
          <connect from_op="Multiply" from_port="output 1" to_op="Local Feature Extractor with Points" to_port="color image plus"/>
          <connect from_op="Multiply" from_port="output 2" to_op="Point of interest generator" to_port="img"/>
          <connect from_op="Point of interest generator" from_port="points of interest" to_op="Local Feature Extractor with Points" to_port="points"/>
          <connect from_op="Local Feature Extractor with Points" from_port="example set" to_op="Transpose" to_port="example set input"/>
          <connect from_op="Transpose" from_port="example set output" to_port="Example set"/>
          <portSpacing port="source_color image plus" spacing="0"/>
          <portSpacing port="sink_Example set" spacing="0"/>
        </process>
      </operator>
      <operator activated="true" class="x_validation" compatibility="5.2.008" expanded="true" height="112" name="Validation" width="90" x="180" y="30">
        <process expanded="true" height="667" width="212">
          <operator activated="true" class="weka:W-J48" compatibility="5.1.001" expanded="true" height="76" name="W-J48" width="90" x="45" y="30"/>
          <connect from_port="training" to_op="W-J48" to_port="training set"/>
          <connect from_op="W-J48" from_port="model" to_port="model"/>
          <portSpacing port="source_training" spacing="0"/>
          <portSpacing port="sink_model" spacing="0"/>
          <portSpacing port="sink_through 1" spacing="0"/>
        </process>
        <process expanded="true" height="667" width="300">
          <operator activated="true" class="apply_model" compatibility="5.2.008" expanded="true" height="76" name="Apply Model" width="90" x="45" y="30">
            <list key="application_parameters"/>
          </operator>
          <operator activated="true" class="performance_classification" compatibility="5.2.008" expanded="true" height="76" name="Performance" width="90" x="180" y="30">
            <parameter key="accuracy" value="false"/>
            <parameter key="kappa" value="true"/>
            <list key="class_weights"/>
          </operator>
          <connect from_port="model" to_op="Apply Model" to_port="model"/>
          <connect from_port="test set" to_op="Apply Model" to_port="unlabelled data"/>
          <connect from_op="Apply Model" from_port="labelled data" to_op="Performance" to_port="labelled data"/>
          <connect from_op="Performance" from_port="performance" to_port="averagable 1"/>
          <portSpacing port="source_model" spacing="0"/>
          <portSpacing port="source_test set" spacing="0"/>
          <portSpacing port="source_through 1" spacing="0"/>
          <portSpacing port="sink_averagable 1" spacing="0"/>
          <portSpacing port="sink_averagable 2" spacing="0"/>
        </process>
      </operator>
      <connect from_op="MCIO" from_port="example set" to_op="Validation" to_port="training"/>
      <connect from_op="Validation" from_port="averagable 1" to_port="result 1"/>
      <portSpacing port="source_input 1" spacing="0"/>
      <portSpacing port="sink_result 1" spacing="36"/>
      <portSpacing port="sink_result 2" spacing="0"/>
    </process>
  </operator>
</process>
« Last Edit: January 15, 2013, 01:07:04 PM by wessel » Logged
StaryVena
Full Member
***
Posts: 118


WWW
« Reply #3 on: January 16, 2013, 09:31:18 AM »

Hello Wessel,
I tried some processes but still have no luck. There is problem, that some letters are opened, so preprocessing like fill holes cannot be used. My results are:

kappa: 0.405 +/- 0.189 (mikro: 0.406)
   true 6   true 7   true 8   class precision
pred. 6   43   16   4   68.25%
pred. 7   3   5   4   41.67%
pred. 8   7   26   46   58.23%
class recall   81.13%   10.64%   85.19%

If you have some tips for new feature extractors or preprocessing operators that are suitable for this task, I can add them.

Best,
Václav
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Image processing extension developer.
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