30 October 2009 A new quantum edge detection algorithm for medical images
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Proceedings Volume 7497, MIPPR 2009: Medical Imaging, Parallel Processing of Images, and Optimization Techniques; 749724 (2009) https://doi.org/10.1117/12.832499
Event: Sixth International Symposium on Multispectral Image Processing and Pattern Recognition, 2009, Yichang, China
Abstract
In this paper, a quantum edge detection algorithm was proposed for the blurry and complex characteristic of medical images with the elicitation of the basic concept and principle of quantum signal processing. Firstly, based on the pixel qubit and quantum states superposition concept, an image enhancement operator based on quantum probability statistic is presented which combines with gray correlative characteristic of the pixels in 3×3 neighborhood windows. Then, in order to realize edge detection, an edge measurement operator based on fuzzy entropy is adopted to the quantum enhancement image. Experiments showed that this method is more efficient than traditional edge detection methods because it has a better capability of edge detection to medical images, which can extract not only strong edge but also the weak one.
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Xiaowei Fu, Xiaowei Fu, Mingyue Ding, Mingyue Ding, Yangguang Sun, Yangguang Sun, Shaobin Chen, Shaobin Chen, } "A new quantum edge detection algorithm for medical images", Proc. SPIE 7497, MIPPR 2009: Medical Imaging, Parallel Processing of Images, and Optimization Techniques, 749724 (30 October 2009); doi: 10.1117/12.832499; https://doi.org/10.1117/12.832499
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