Image > Contrast 
Increases contrast of the image. It changes intensities of the current image. Hue and saturation are not affected. Intensities are rescaled according to the selected method.
Figure 482.
Options
Sets the Range so that the limits correspond to the minimum and maximum intensities found in the image.
The parameter for the Gamma Correction method. It ranges from 0.05 to 5.00. Set Gamma < 1 to get more information in dark areas or set Gamma > 1 to enhance bright parts of the image.
Set the low/high contrast intensities. Pixels with intensity greater than the high value set will be changed to a pure white, whereas pixels with intensity smaller than the low value set will be changed to pure black (zero). The range itself will be stretched to fit the available intensity range.
Type
Image > Adjust Image > White Balance Balances and adjusts red, green and blue components of the current RGB image. One or two circular probes appear in the image. Move the probes to specify the white point and - optionally - the black point in the image.
Figure 483.
Note
Probe assignment is determined dynamically. If you move the red probe (white balance) over an image area which is darker then the area under the green probe (black balance), the probes swap automatically, so the text color in the window swaps as well to indicate the change.
See Image processing for description of other settings.
Image > Adjust Image > RGB Transformation (requires: Automatic Measurement)
Transforms color image independently for each RGB component.
Figure 484.
Type of image transformation.
Adds Red resp. Green resp. Blue value to red resp. green resp. blue component of each pixel.
Subtracts Red resp. Green resp. Blue value from red resp. green resp. blue component of each pixel.
Assigns minimum of red resp. green resp. blue component and Red resp. Green resp. Blue value to relevant component of each pixel.
Assigns maximum of red resp. green resp. blue component and Red resp. Green resp. Blue value to relevant component of each pixel.
Assigns Red resp. Green resp. Blue to red resp. green resp. blue component of each pixel.
Multiplies red resp. green resp. blue component of each pixel by Red resp. Green resp. Blue value.
Divides red resp. green resp. blue component of each pixel by Red resp. Green resp. Blue value.
See Image processing for description of other settings.
Image > Adjust Image > Intensity Transformation (requires: Automatic Measurement)
Transforms intensities by arithmetic operations.
Figure 485.
See Image processing for description of other settings.
Image > Adjust Image > Change Saturation 
Changes saturation of an RGB image.
Figure 486.
See Image processing for description of other settings.
Image > Adjust Image > Change Hue Changes the color tone of an RGB image while maintaining its brightness and saturation.
Figure 487.
Note
This transformation is used for color image enhancement. Note, for instance, that positive hue shift turns blue color towards red.
See Image processing for description of other settings.
Image > Adjust Image > Complement Colors Transforms a color image into its complementary color image.
See Image processing for description of other settings.
Image > Smooth 
This command performs smoothing on the color image.
The following dialog box appears:
Figure 488.
Click the button to change the structuring element used for this operation. See Matrix.
Process each RGB channel separately or perform the processing on the intensity channel? See Image processing.
Image > Sharpen 
This function sharpens the image.
Figure 489. Before - after applying the Sharpen function
Image > Sharpen Slightly This function slightly sharpens the image.
Figure 490. Before - after applying the Sharpen Slightly function
Image > Detect > Detect Valleys 
(requires: Automatic Measurement)
Detects edges by morphological transformations on color images.
Figure 491. Dialog options
Click the button to change the structuring element used for this operation. See Matrix.
Process each RGB channel separately or perform the processing on the intensity channel? See Image processing.
Note
The Detect Valleys command enhances small dark objects by “Top Hat” morphologic transformation. The size of the selected objects is determined by level of the transformation, which depends on Matrix type and on Number of steps. This command enables the specific segmentation of small objects to the exclusion of larger objects and also can help you in the case of non-homogeneous background.
Image > Detect > Detect Peaks (requires: Automatic Measurement)
The Detect Valleys (Top Hat) dialog box appears.
Figure 492.
Click the button to change the structuring element used for this operation. See Matrix.
Process each RGB channel separately or perform the processing on the intensity channel? See Image processing.
Note
Detect Peaks command enhances small light objects by “Top Hat” morphologic transformation. The size of objects selected is determined by the size of the used structuring element, which depends both on Matrix and Number parameters. This command enables the specific segmentation of small objects to the exclusion of larger objects and also can help you in the case of non-homogeneous background.
Image > Detect > Detect Edges (requires: Automatic Measurement)
Image > Detect > Gradient Morpho (requires: Automatic Measurement)
Detects edges by morphological transformations of color images.
The following dialog appears:
Figure 493.
Click the button to change the structuring element used for this operation. See Matrix.
Process each RGB channel separately or perform the processing on the intensity channel? See Image processing.
Note
Morphologic gradient is the difference between dilated and eroded images. It enhances edges.
Image > Delineate Enhances edges and smooths homogeneous areas in color image. The Delineate dialog box appears:
Figure 494.
Process each RGB channel separately or perform the processing on the intensity channel? See Image processing.
Note
In the resulting image, edges are enhanced and smooth areas are more homogeneous.
Image > Relief Creates a pseudo 3-D image. The Relief dialog box appears:
Figure 495.
If checked, the result of the transformation is a gray image. This option is only applicable to RGB images.
Process each RGB channel separately or perform the processing on the intensity channel? See Image processing.
Note
Superimposition of the original and the shifted image results in a pseudo 3-D image.
Image > Crop 
Cuts off everything outside the selected area. Selecting this command invokes the crop cursor. Click the primary mouse button and drag to define the cropping area. Adjust the area you want to crop using the red rectangle. Move the white squares on the rectangle edges to adjust its size and move the whole rectangle using the primary mouse button to set its position.
Figure 496. Cropping rectangle
Another way to set the crop is to use the dialog window in which you can specify the Left and Top corners of the rectangle, its Width, Height and the units used (pixels, µm, mm). Once you finish defining the cropping rectangle, confirm it by clicking .
The 
Draw Rectangle... button hides the dialog window and lets you draw the cropping rectangle manually. Remember Last Settings remembers the crop data which can be reused in future image cropping. If the image being cropped with the remembered data is smaller than the previously cropped one, it may be reduced and moved automatically.
Image > Split Image Splits an image into separate tiles. Please see Splitting Large Images for more information.
Image > Size > Resize Using this command it is possible to adjust image dimensions. You can enter the new size as an exact value in pixels or in percents of the current image.
Figure 497.
In case this option is checked, you can enter the size of new image in percents of the current image.
Scales down the image. The longer side of the image is rescaled to the defined number of pixels while the aspect ratio is kept. Shorter side of the image is calculated automatically.
If this option is active, you can enter only one dimension of new image and the other is filled automatically to keep selected aspect ratio. Aspect ratio is computed and pre-filled according to your current image dimensions.
See Also
Image > Convert > Change Color Depth
Image > Size > Add Borders This command adds color borders to current image. Selecting this command, the following dialog box appears:
Figure 498.
Image > Size > Binning Opens the Image Binning dialog window enabling to bin the current image based on the binning factor and binning method.
Figure 499.
Image > Convert > Convert to Gray Transforms current color image into gray image.
Note
The resulting intensities are defined for every pixel as an average of red, green and blue component values.
Image > Convert > Convert to RGB Transforms the current gray image into a color image.
Note
The resulting RGB image consist of three components with identical values. The image looks still grey.
Image > Convert > Change Color Depth This command changes the color depth of the current image. You can increase or decrease the depth to 8, 10, 12 or 16 bits.
Figure 500.
See Also
Image > Size > Resize
Image > Convert > Convert Floating Point Image to Use this command to convert a floating point image to a new standard image. Define which method is used to convert the currently opened floating point image to integer values. Select the bit depth of the new image. Recommended bit depth is displayed below the pull down menu.
Figure 501.
Stretches the interval “0 to image maximimum” to fit the target bit depth.
Stretches the interval “image minimum to image maximum” to fit the target bit depth.
Stretches the interval “LUTs black slider to LUTs white slider” to fit the target bit depth. See LUTs - Non-destructive Image Enhancement.
Image > Convert > Extract Component Transforms an RGB image to one of its RGB or HSI components. On multichannel images, the HSI color space is not available.
Figure 502.
Note
In the resulting gray image all RGB components are identical and the image is stored in the same way as a “usual” color image.
Image > Convert > Add New Component Adds a new channel to the current image. The following dialog appears:
Figure 503.
Image > Rotate > Rotate By Degree Performs free image rotation. The Rotation dialog box appears:
Figure 504.
Image > Clear > Clear Color 
This function clears the color layer of a image. All pixel intensities are set to zero.
Image > Clear > Clear Binary (requires: Automatic Measurement)
Clears current binary image and sets all pixels to zero.
Note
Performing this command, the ClearBinary function is called and appended to the list of executed functions.