Edge Detection to Enhance Definite Range Image Segmentation by Clustering Algorithms

Abstract

Edges of an image are considered a type of crucial information that can be extracted by applying detectors with different methodologies. However, edge detection provides rich information about the scene being observed. Many researchers have been taking advantage of edge detection information to improve the segmentation of range images by integrating edge detection with other different segmentation techniques. This paper presents a methodology to perform edge detection in range images in order to provide are liable and meaningful edge map, which helps to enhance and improve range image segmentation by clustering techniques identifies edge map leads to three important suitable initial cluster centers and identification of distinct regions with similar features. Experimental results that substantiate the effectiveness of this work are presented.

Authors and Affiliations

P. Pedda Sadhu Naik, T. Venu Gopal

Keywords

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  • EP ID EP27463
  • DOI -
  • Views 351
  • Downloads 6

How To Cite

P. Pedda Sadhu Naik, T. Venu Gopal (2012). Edge Detection to Enhance Definite Range Image Segmentation by Clustering Algorithms. International Journal of Research in Computer and Communication Technology, 1(4), -. https://europub.co.uk/articles/-A-27463