Study of Image Edge Detection Techniques

Wen Zhong Yan; Da Zhi Deng

doi:10.4028/www.scientific.net/AMR.505.393

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HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 505Study of Image Edge Detection Techniques

Study of Image Edge Detection Techniques

Abstract:

Edges characterize boundaries. Edge detection is a problem of fundamental importance in image processing. The key of edge detection for image is to detect more edge details, reduce the noise impact to the largest degree. In this paper the comparative analysis of various image edge detection techniques is presented. In order to evaluate these techniques, they are used to detect the edge of chromosome image. Firstly, the iterative thresholding algorithm and morphologic erode algorithm together are applied to enhance both the edges of the chromosomes and the contrast of the image. Then, Sobel operator technique, Roberts technique, Prewitt technique and Canny technique are used respectively to detect the edges of the chromosomes in the image.

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Periodical:

Advanced Materials Research (Volume 505)

Pages:

393-396

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.505.393

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Online since:

April 2012

Authors:

Wen Zhong Yan, Da Zhi Deng

Keywords:

Chromosome, Edge Detection, Operator

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