A Survey on Different Edge Detection Techniques for Image Segmentation

K  Bala Krishnan; Shiva Prakash Ranga and Nageswara Guptha

doi:10.17485/ijst/2017/v10i4/108963

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A Survey on Different Edge Detection Techniques for Image Segmentation

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Indian Journal of Science and Technology

DOI: 10.17485/ijst/2017/v10i4/108963

Year: 2017, Volume: 10, Issue: 4, Pages: 1-8

Original Article

A Survey on Different Edge Detection Techniques for Image Segmentation

K. Bala Krishnan^* , Shiva Prakash Ranga and Nageswara Guptha

Department of ISE, Sri Venkateshwara College of Engineering, Bengaluru - 562157, Karnataka, India; [email protected], [email protected], [email protected]

*Author for the correspondence:
K. Bala Krishnan
Department of ISE, Sri Venkateshwara College of Engineering, Bengaluru - 562157, Karnataka, India;
[email protected]

This work is licensed under a Creative Commons Attribution 4.0 International License.

Abstract

Objectives: To compare different edge detection techniques for the effective performance results with respect to complex images. Methods: This paper compares and analyses the performance of diverse edge detection techniques for recent digital image processing like canny optimal edge detection, sobel operator, prewitt operator and LoG. Findings: Canny Optimal Edge detection (COE) technique provides better performance results under noise images or complex images when compared to other techniques. In COE the result of PSNR is high which helps to identify the effective edges.

Keywords: Canny edge detection, Classical Operator Edge detection, Edge detection algorithm, Image segmentation