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Proceedings Paper

Research on enhancement methods applied to B-model liver cancer images
Author(s): Tiantian Xu; Shuqin Huang
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Paper Abstract

In this paper, several image enhancement methods for B-model US image, including Linear Transformation, Histogram Equalization, Brightness Preserving Bi-histogram Equalization (BBHE, Minimum Brightness Error Bi-Histogram Equalization (MMBEBHE), and Fuzzy Enhancement, were compared each other. Based on the subjective evaluations from human vision and feature extraction of the ROI after the enhancement, the advantages and disadvantages of each method were found out. Furthermore, the best enhancement algorithm, fuzzy enhancement algorithm was applied to our study and its impact on the feature extraction was compared with or without the fuzzy enhancement.

Paper Details

Date Published: 14 November 2007
PDF: 7 pages
Proc. SPIE 6789, MIPPR 2007: Medical Imaging, Parallel Processing of Images, and Optimization Techniques, 67890L (14 November 2007); doi: 10.1117/12.748346
Show Author Affiliations
Tiantian Xu, Huazhong Univ. of Science and Technology (China)
Shuqin Huang, Huazhong Univ. of Science and Technology (China)


Published in SPIE Proceedings Vol. 6789:
MIPPR 2007: Medical Imaging, Parallel Processing of Images, and Optimization Techniques

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