How to use local features such as pixel values in a image classification setup?

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

<?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>