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Proceedings Paper

Anisotropic Gaussian kernels edge detection algorithm based on the chromatic difference
Author(s): Bin-Bin Su; Mei-Hua Gu; Miao-Miao Wang; Zhi-Lei Wang
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Paper Abstract

The three channels in color images are related to each other, but the edge detection based on gray images tend to ignore the correlation between them. In this paper, we focus on the relationship between every component, highlighting the edge change caused by the color information. Anisotropic Gaussian kernels(ANGKs) edge detection algorithm based on the chromatic difference is proposed in order to improve the performance of edge detection in color images. The proposed algorithm focuses on the chromatic difference among three components. First we derive the color difference S from the gray scale Y and the three channels in RGB color space. Then we use the ANGKs to calculate the gradient magnitude and the direction of S and Y to get Smag and Ymag, respectively. The final edges are obtained by double threshold processing after fusing magnitudes of Smag and Ymag and non-maximum suppression. We evaluates the performance of the proposed algorithm qualitatively and quantitatively for non-noise images and noise images. The experimental results show that the performance of the proposed algorithm is comparable to other approach.

Paper Details

Date Published: 9 August 2018
PDF: 10 pages
Proc. SPIE 10806, Tenth International Conference on Digital Image Processing (ICDIP 2018), 108062Q (9 August 2018); doi: 10.1117/12.2502846
Show Author Affiliations
Bin-Bin Su, Xi'an Polytechnic Univ. (China)
Mei-Hua Gu, Xi'an Polytechnic Univ. (China)
Miao-Miao Wang, Xi'an Polytechnic Univ. (China)
Zhi-Lei Wang, Xi'an Polytechnic Univ. (China)


Published in SPIE Proceedings Vol. 10806:
Tenth International Conference on Digital Image Processing (ICDIP 2018)
Xudong Jiang; Jenq-Neng Hwang, Editor(s)

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