Research on enhancement methods applied to B-model liver cancer images

Tiantian Xu; Shuqin Huang

doi:10.1117/12.748346

14 November 2007 Research on enhancement methods applied to B-model liver cancer images

Tiantian Xu, Shuqin Huang

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Proceedings Volume 6789, MIPPR 2007: Medical Imaging, Parallel Processing of Images, and Optimization Techniques; 67890L (2007) https://doi.org/10.1117/12.748346
Event: International Symposium on Multispectral Image Processing and Pattern Recognition, 2007, Wuhan, China

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.

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Tiantian Xu and Shuqin Huang "Research on enhancement methods applied to B-model liver cancer images", Proc. SPIE 6789, MIPPR 2007: Medical Imaging, Parallel Processing of Images, and Optimization Techniques, 67890L (14 November 2007); https://doi.org/10.1117/12.748346

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KEYWORDS

Image enhancement

Fuzzy logic

Feature extraction

Liver cancer

Liver

Image processing

Enhanced vision

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