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various spectrum of image processing, images are acquired with low variations in the intensity level and thus they possess small gradient values. In these cases, it is convenient to apply watershed segmentation on the gradient image, rather than the original image. The most common output of these segmented images is over segmentation and it implies the presence of numerous watershed ridges that do not correspond to the object boundaries of interest. Under this intermingled problematic scenario, the role of the spatial edge sharpening filters should not be ignored. This research paper deals with the role of various edge sharpening filters and to find the ultimate effect of them on the output image using watershed algorithm is presented.

international journal of computer applications

Effect of Various Spatial Sharpening Filters on the Performance of the Segmented Images using Watershed Approach based on Image Gradient Magnitude and Direction