A new quantum edge detection algorithm for medical images
Xiaowei Fu, Mingyue Ding, Yangguang Sun, Shaobin Chen · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2009
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.