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Proceedings Paper

A new quantum edge detection algorithm for medical images
Author(s): Xiaowei Fu; Mingyue Ding; Yangguang Sun; Shaobin Chen
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Paper 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.

Paper Details

Date Published: 30 October 2009
PDF: 7 pages
Proc. SPIE 7497, MIPPR 2009: Medical Imaging, Parallel Processing of Images, and Optimization Techniques, 749724 (30 October 2009); doi: 10.1117/12.832499
Show Author Affiliations
Xiaowei Fu, Huazhong Univ. of Science and Technology (China)
Wuhan Univ. of Science and Technology (China)
Mingyue Ding, Huazhong Univ. of Science and Technology (China)
Yangguang Sun, Huazhong Univ. of Science and Technology (China)
Shaobin Chen, Huazhong Univ. of Science and Technology (China)


Published in SPIE Proceedings Vol. 7497:
MIPPR 2009: Medical Imaging, Parallel Processing of Images, and Optimization Techniques
Faxiong Zhang; Faxiong Zhang, Editor(s)

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