BottomHat with kernel

Menu:   Processing > Morphology… > Kernel->BottomHat

Script:   bottomHatKernel

Use this command to detect small dark regions in an image. The bottom-hat transformation also known as "well" or "rolling ball" works by subtracting the original image from the result of the Close.operator. A neighborhood pattern is supplied to the function as a grayscale or binary image with pixel values set to 1s for active elements of the kernel and to 0s for elements to be ignored. Use New Image comand to create a new kernel and Digital Editor to edit its elements.

This function is typically followed by Thresholdng in order to extract those pits that fall into a specific range of intensity depth.

If you choose this command, the following options will become available:

Input

Displays the input image frame number. If you want to process another image, type or select the corresponding value.

Probe

Displays the frame number of the grayscale or multiphase image that contains the structuring element for the operation. The size of the kernel in each dimension must not exceed 2*Overscan+1. See Preferences for more details.

Output

Displays the number of the frame in which the output image will be created. Depending on the Preferences. ImageWarp will set it either to the first available value or to the Input frame number. Type or select another value if you want the output image to be created in a different frame.

Preview

Select this check box to watch the Preview of the output image.

Iterations

Lets you select how many times the operation will be applied. Note that for the binary images ImageWarp uses a fast algorithm that renders the same result without actually performing multiple passes through the image.