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Erschienen in:
2012 | OriginalPaper | Buchkapitel
An improved Canny Edge Detection Algorithm
verfasst von : You-e Cheng
Erschienen in: Recent Advances in Computer Science and Information Engineering
Verlag: Springer Berlin Heidelberg
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Image edge detection is the first step on obtaining image feature. In this paper, an improved canny edge detection algorithm was represented to obtain thin and robust edge. Firstly, nonlinear diffusion filter was used to wipe of noise efficiently and kept the edge information of the image. Secondly, gradient calculation of pixel diagonal direction was considered in the calculation of neighborhood gradient amplitude which further repressed the impact of noise. Thirdly, using average interclass variance could self-adaptively calculate the double thresholds for different images. The results of the experiment indicate that the improved algorithm has a better accuracy and precision in the edge detection.