Image edge detection based on adaptive lifting scheme

Ping Xia; Xuejun Xiang; Junli Wan

doi:10.1117/12.831255

30 October 2009 Image edge detection based on adaptive lifting scheme

Ping Xia, Xuejun Xiang, Junli Wan

Proceedings Volume 7497, MIPPR 2009: Medical Imaging, Parallel Processing of Images, and Optimization Techniques; 74972E (2009) https://doi.org/10.1117/12.831255
Event: Sixth International Symposium on Multispectral Image Processing and Pattern Recognition, 2009, Yichang, China

Abstract

Image edge is because the gradation is the result of not continuously, is image's information basic characteristic, is also one of hot topics in image processing. This paper analyzes traditional arithmetic of image edge detection and existing problem, uses adaptive lifting wavelet analysis, adaptive adjusts the predict filter and the update filter according to information's partial characteristic, thus realizes the processing information accurate match; at the same time, improves the wavelet edge detection operator, realizes one kind to be suitable for the adaptive lifting scheme image edge detection's algorithm, and applies this method in the medicine image edge detection. The experiment results show that this paper's algorithm is better than the traditional algorithm effect.

Citation Download Citation

Ping Xia, Xuejun Xiang, and Junli Wan "Image edge detection based on adaptive lifting scheme", Proc. SPIE 7497, MIPPR 2009: Medical Imaging, Parallel Processing of Images, and Optimization Techniques, 74972E (30 October 2009); https://doi.org/10.1117/12.831255

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