基于片段依赖局部均衡的模糊模型增强医学图像

3rd International Symposium on Image and Signal Processing and Analysis, 2003. ISPA 2003. Proceedings of the Pub Date : 2003-09-18 DOI:10.1109/ISPA.2003.1296420

I. Stephanakis, G. Anastassopoulos, A. Karayiannakis, C. Simopoulos

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引用次数: 10

摘要

提出了一种新的医学图像模糊均衡模型。该方法需要一个预处理步骤，将图像模糊分割成具有重叠模糊边界的N个片段。直方图均衡化是根据从图像的每个片段派生的单个均衡化函数来执行的。每个段对应一个模糊隶属函数。增强结果与从图像的全局直方图导出均衡变换函数的直方图均衡化技术相比效果很好。

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Enhancement of medical images using a fuzzy model for segment dependent local equalization

A novel model for fuzzy equalization of medical images is proposed. The method requires a preprocessing step which accomplishes a fuzzy segmentation of the image into N segments with overlapping fuzzy boundaries. Histogram equalization is performed according to individual equalization functions derived from each segment of the image. A fuzzy membership function is associated with each segment. Enhancement results compare well against histogram equalization techniques that derive the equalization transform function from the global histogram of the image.

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来源期刊

3rd International Symposium on Image and Signal Processing and Analysis, 2003. ISPA 2003. Proceedings of the

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