Image edge detection based on Krisch operator and gray correlation analysis

Wenge Xue; Tianfu Kuang

doi:10.1117/12.2623590

16 February 2022 Image edge detection based on Krisch operator and gray correlation analysis

Wenge Xue, Tianfu Kuang

Proceedings Volume 12083, Thirteenth International Conference on Graphics and Image Processing (ICGIP 2021); 120832P (2022) https://doi.org/10.1117/12.2623590
Event: Thirteenth International Conference on Graphics and Image Processing (ICGIP 2021), 2021, Kunming, China

Abstract

The traditional gray correlation analysis method extracted edge exists edge discontinuities, noise sensitivity and other issues, this paper combines Krisch operator with the thought of gray correlation analysis to detect edge, and proposes an improved image edge detection algorithm based on deng’s correlation degree, which combines with Krisch eight direction operators technology, uses median method to achieve unit consistency for the reference sequence and comparison sequence of gray correlation degree at the same time, and makes improvements for deng’s correlation degree model , with which obtained correlation degree to extract image edges. The simulation experiments show that the edges extracted by this paper algorithm are continuous and clear, which refines edges of the image, suppresses noise interference to a certain extent, and improves the efficiency of the algorithm.

Citation Download Citation

Wenge Xue and Tianfu Kuang "Image edge detection based on Krisch operator and gray correlation analysis", Proc. SPIE 12083, Thirteenth International Conference on Graphics and Image Processing (ICGIP 2021), 120832P (16 February 2022); https://doi.org/10.1117/12.2623590

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