A Novel Method for Edge Detection in Images Based on Particle Swarm Optimization

2016 International Conference on Communication, Image and Signal Processing

物理学;无线电电子学;计算机科学

Baby Sherin, C.^1 ; Mredhula, L.^1

Electronics and Communication Engineering, MES College of Engineering, Kerala, Kuttippuram Malappuram

679573, India^1

关键词: Detection techniques;    Edge detection methods;    Edge detectors;    Laplacian of Gaussian;    Morphological operations;    Structural information;    Thresholding techniques;   

Others  :  https://iopscience.iop.org/article/10.1088/1742-6596/787/1/012012/pdf
DOI  :  10.1088/1742-6596/787/1/012012

学科分类：计算机科学（综合）

来源: IOP

【 摘 要 】

Edges give important structural information about the images. Edge detection is a process of identifying and locating the edges in an image. Edges are the points where discontinuity of intensity occurs. It also represents the boundaries of objects in images. In this paper a new edge detection method based on Particle Swarm Optimization is discussed. The proposed method uses morphological operations and a thresholding technique to improve the result of edge detector. This algorithm performs better in images comparing to other traditional methods of edge detection. The performance of proposed method is compared with traditional edge detection methods such as Sobel, Prewitt, Laplacian of Gaussian and Canny with parameters Baddeley's Delta Metric. Statistical analysis is performed to evaluate accuracy of edge detection techniques.