直观模糊对比增强医学图像的构建

2012 4th International Conference on Intelligent Human Computer Interaction (IHCI) Pub Date : 2012-12-01 DOI:10.1109/IHCI.2012.6481870

Tamalika Chaira

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引用次数: 7

摘要

医学图像的照明很差，增强是非常必要的。虽然文献中有很多图像增强算法，但是医学图像的增强是非常困难的。提出了一种利用直觉模糊集理论进行医学图像增强的新方法。该方法利用Sugeno型模糊补生成直观模糊图像，并利用直观模糊熵对直观模糊图像中的参数进行优化。在多幅低对比度医学图像上的实验结果表明，与现有的模糊和直觉模糊方法相比，该方法能产生更好的增强图像。

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Construction of intuitionistic fuzzy contrast enhanced medical images

Medical images are poorly illuminated and enhancement is very much essential. Though there are many image enhancement algorithms in literature, but enhancement of medical images is very much difficult. This paper presents a new method using intuitionistic fuzzy set theory for medical image enhancement. The method produces an intuitionistic fuzzy image using Sugeno type fuzzy complement and the parameter in intuitionistic fuzzy image is optimized using intuitionistic fuzzy entropy. Experimental results on several low contrasted medical images show that the proposed method produces better enhanced image as compared to the existing fuzzy and intuitionistic fuzzy methods.

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2012 4th International Conference on Intelligent Human Computer Interaction (IHCI)

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