Top Hat
Enhances the fine details or small objects within an image by subtracting an opened version of the image from the original.
ðžïļ Image options and parameters of topHat method
ð Mask options and parameters of topHat method
In morphology and image processing, Top Hat is an operation used to enhance or extract small bright regions or details from an image while suppressing the larger surrounding structures. It is the result of subtraction between the result of input image opening and the input image itself. The purpose of bottom hat(or as it is also called black-hat) is to enhance and extract brighter regions of the image.
Kinds of images compatible with algorithmâ
| Image property | What it means | Possible values |
|---|---|---|
bitDepth | number of bits per channel | [1,8,16] |
components | number of components | [1] |
alpha | is alpha channel allowed | false |
Parameters and default valuesâ
options
Optionsâ
| Property | Required | Default value |
|---|---|---|
iterations | no | 1 |
kernel | no | [[1, 1, 1],[1, 1, 1],[1, 1, 1]] |
info
The method is also available for Masks.