Image Segmentation Using Gray-Scale Morphology and Marker-ControlledWatershed Transformation. (3rd December 2008)

• Record Type: Journal Article
• Authors: Parvati, K.; Prakasa Rao, B. S.; Mariya Das, M.
• Other Names: Sagar B. Academic Editor.
• Is Part Of: Discrete dynamics in nature and society. Volume 2008(2008)
• Publication Date: 2008-12-03
• Subjects: System analysis -- Periodicals; Dynamics -- Periodicals; Chaotic behavior in systems -- Periodicals; Differentiable dynamical systems -- Periodicals; 003.05
• DOI: 10.1155/2008/384346
• Languages: English
• ISSNs: 1026-0226

Abstract

Abstract : Segmentation, a new method, for color, gray-scale MR medical images, and aerial images, is proposed. The method is based on gray-scale morphology. Edge detection algorithm includes function edge and marker-controlled watershed segmentation. It features the simple algorithm implemented in MATLAB. The watershed segmentation has been proved to be a powerful and fast technique for both contour detection and region-based segmentation. In principle, watershed segmentation depends on ridges to perform a proper segmentation, a property that is often fulfilled in contour detection where the boundaries of the objects are expressed as ridges. For region-based segmentation, it is possible to convert the edges of the objects into ridges by calculating an edge map of the image. Watershed is normally implemented by region growing, based on a set of markers to avoid oversegmentation.