Comparative Analysis of Various Edge Detection Techniques for Bio Medical Images

Abstract

 Edges characterize boundaries and are therefore considered for prime importance in image processing. Edge detection filters out useless data, noise and frequencies while preserving the important structural properties in an image. Since edge detection is in the forefront of image processing for object detection, it is crucial to have a good understanding of edge detection methods. In this paper the comparative analysis of various Image Edge Detection methods is presented. The evidence for the best detector type is judged by studying the edge maps relative to each other through statistical evaluation. Upon this evaluation, an edge detection method can be employed to characterize edges to represent the image for further analysis and implementation. It has been shown that the Canny's edge detection algorithm performs better than all these operators under almost all scenarios. eywor

Authors and Affiliations

Kapil Mangla

Keywords

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  • EP ID EP106143
  • DOI -
  • Views 53
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How To Cite

Kapil Mangla (30).  Comparative Analysis of Various Edge Detection Techniques for Bio Medical Images. International Journal of Engineering Sciences & Research Technology, 3(7), 461-465. https://europub.co.uk/articles/-A-106143