Various algorithms are employed for edge detection in histology. Some of the common methods include:
Sobel Operator: This technique uses convolution masks to detect edges by emphasizing regions of high spatial gradient. Canny Edge Detector: Known for its accuracy, this method involves multiple steps including noise reduction, gradient calculation, non-maximum suppression, and edge tracking by hysteresis. Laplace Operator: This second-order derivative method highlights regions of rapid intensity change, making it effective for edge detection in histological images.
