Modified Watershed Transform using Convolution filtering for Image Segmentation
Journal Title: International Journal of Engineering Sciences & Research Technology - Year 30, Vol 3, Issue 8
Abstract
Image segmentation and evaluation are awfully not easy but significant tribulations in computer vision. In this article, we have present a Modified Watershed method for image segmentation. In this techniques, we used Convolution filtering, Dynamic thresholding and Masking, Morphology operations on input image. Two existing methods such as Region Growing and FCM are compared Modified Watershed methods by Metric Evaluation. This experimental results computed on MATLAB software with Image Processing toolbox.
Authors and Affiliations
Rupinder Kaur
Keywords
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