Parents : Image Segmentation
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- Done using sharpening spatial filters
- second order derivative using Second Order Derivative filters filters.
A point (x,y) is detected when the kernel centered at a point and the response value of the filter surpasses a given threshold. The detected points are labelled as ‘1’ and others are labelled as ‘0’ so it forms a binary image.
Example :
Image Segmentation in digital image processing |noembed
Steps in Isolated point detection
A threshold function would be given according to which we have to allocate pixel values in the end to form a binary image of the isolated detected points.
- Apply zero padding to the image according to the kernel given.
- Now apply the kernel to the zero padded image and then replace the center with the calculated value.(Do this for entire image)
- Now the image obtained is compared with the threshold function and binary image is generated.