Use the Class Histogram results view in the Count and Measure Results tool window to have the class results shown as a histogram. Depending on the grouping dimension, the results will be shown either as a column or as a line diagram.
Example: You can have the number of the detected objects per class displayed. The grouping dimension is the class in this case.
Use the View > Tool Windows > Count and Measure Results command to have the tool window displayed. Should the Class Histogram results view not yet be active, click the Class Histogram tab to activate it.
Structure of the tool window
The tool window is made up of several groups. Click on one of the areas in the tool window shown schematically above to jump to the corresponding help topic.
(1) Toolbar in the results view
See also
Carrying out an automatic image analysis
Tool Window - Count and Measure Results
(1) Toolbar in the results view
In the Class Histogram results view, you can find a toolbar with the following buttons.
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Click this button to select an individual object, or also several objects. |
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Click this button to switch the current object filter on or off. |
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Use these buttons to change the way the histogram is displayed. Click here to learn more. |
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Click this button to select the measurement parameters for the object classes that are to be output in the histogram. |
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Click the Export to Chart button, in order to export the histogram from the tool window into an individual document type. You can find the diagram document with the exported histogram, in the document group. |
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(2) Parameter selection
Selecting the class parameter
In the Measurement picklist, select the class parameter that is to be displayed in the histogram. You will be offered all of the class parameters that have been selected in the Select Class Measurements dialog box with exception of the image names or the indications. There can always be only one class parameter selected.
Selecting the grouping dimension
In the Grouped by picklist, select the dimension in which the results are to be displayed.
The histogram will be automatically updated, as soon as a parameter in the Measurement or Grouped by picklist is changed.
For example: You select the Sum (Area) entry in the Measurement picklist and the Class entry in the Grouped by picklist. In this case, a separate column will be displayed in the histogram for each defined class. The height of the column corresponds to the area of the image that is taken up by all of the objects in a class. Should ROIs have been defined on the image, and you then select the ROI entry in the Grouped by picklist, the results will then be further split up. You will then obtain a column for every combination of a class and an ROI.
The columns will be grouped by ROIs. The assignment of the measurement parameters, e.g., the area of a class, will be displayed for every ROI, for all three classes. In the example shown, the red objects take up more area than the green and yellow objects, in both ROIs. The area that the yellow objects take up in the image is, however, is much larger in ROI 2 than in ROI 1.
(3) Histogram display
The histogram portrays a class parameter's frequency distribution in relation to a grouping dimension. The class parameter's values are plotted along the Y-axis and the respective grouping dimensions are plotted along the X-axis e.g., class ID or time.
Depending on the context, the results will be shown either as a column or as a line diagram. You will be issued with a line diagram, for example, when you select the entry Time as the grouping dimension. The colors of the columns or lines are shown, corresponding to the colors assigned to the classes. To the right of the histogram, a caption, showing the color assignments for all of the classes, will be shown.
Some examples:
Example 1: The histogram shows the distribution for an arbitrary class parameter. Two object classes (P1, P2) have been analyzed. As grouping dimension, Class was chosen. The histogram specifies the selected class parameters per class.
When you display the Object Count class parameter for example, the histogram will show the number of objects per class. Considerably more red objects were therefore counted. When you display the Mean (Area) class parameter, the histogram will show that the red objects are on average, much larger than the green ones. The histogram will then contain no information about the number of objects.
Example 2: Two images with the same class definition have been analyzed. You can easily view the results for both of the images in the histogram, and compare them. As grouping dimension, Image was chosen. Each class on an image will be displayed as a separate column. All of an image's classes will be displayed grouped. The prerequisite for this histogram display, is that the class definition is the same for all of the images used.
When you display the Object Count class parameter for example, the histogram will show the number of objects per class. For the green class, considerably more objects were counted in image 2 than in image 1. However more objects for the red and yellow classes were counted in image 1 than in image 2.
Changing the histogram display
Use these buttons to change the way the histogram is displayed. Click here to learn more.
Error message
In some cases you will receive an error message, that will appear instead of the histogram. There can be various causes for that.
•No object analysis has been carried out. A prerequisite for the histogram display, is that measurement results are on hand.
•The dimension selected isn't available for the image. Only a time stack contains numerous separate images, that have been acquired at different times. Therefore, you can only use the Time grouping dimension for time stacks.
•The classification definitions do not match. The prerequisite for the Image grouping dimension is that the class definition is the same for all of the images used.
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