“Marker-Controlled Watershed Transform in Digital Mammogram Segmentation”
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2015, Vol 3, Issue 3
Abstract
Breast cancer is one of the major causes of death among women thus; to detect the breast cancer in digital mammogram, firstly we have to segment it properly. Segmentation refers to the process of partitioning a digital image into multiple segments. The goal of segmentation is to simplify and/or change the representation of an image into something that is more meaningful and easier to analyze. Image segmentation is typically used to locate objects and boundaries in images. The result of image segmentation is a set of segments that collectively cover the entire image, or a set of contours extracted from the image. Many algorithms have been proposed to improve the quality of segmentation in medical image analysis in that Marker Controlled Watershed algorithm is one such reliable approach to segment homogeneous regions in an image. It is superior to region growing method in terms of number of regions obtained after processing. In this paper a robust approach is discussed to improve, the primary drawback of watershed algorithm, over-segmentation. Only a few previous studies address the task of regularizing the obtained watershed lines from the traditional marker-controlled watershed segmentation. In proposed work we have used morphological marker controlled method and the use of gradient image for watershed algorithm to minimize over-segmentation in image analysis.
Authors and Affiliations
Varsha J. Gaikwad
Keywords
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