Performance Analysis of Different Edge Detection Techniques for Image Segmentation

Sujatha, P. and Sudha, K. K. (2015) Performance Analysis of Different Edge Detection Techniques for Image Segmentation. Indian Journal of Science and Technology, 8 (14). ISSN 0974-6846

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Abstract

Objectives: This paper provides the performance analysis of three edge detection operators on the basis of intensity
value and high gradient. Methods: Edge detection is considered to be the building blocks of image processing for object detection and it is an important technique in image segmentation. Sobel, Prewitt and Roberts are some of the edge detection operators discussed in this paper. MATLAB R2013a is used to analyze the performances of these operators using an input image. Findings: In order to classify the operators, the limitations are identified and the performance analysis is done on the basis of obtained results. Based on the intensity value, Prewitt produces better result than Sobel and Roberts. At the same time, Sobel locates the edges with high gradient. Likewise, Roberts produces quick result due to small filter. Application/Improvement: The performance of these operators has been analyzed and realized that each operator is
recognized as the best under various conditions.

Item Type: Article
Subjects: Computer Science > Computer Networks
Depositing User: Mr IR Admin
Date Deposited: 02 Oct 2024 07:27
Last Modified: 02 Oct 2024 07:27
URI: https://ir.vistas.ac.in/id/eprint/7938

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