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基于模糊隶属度曲面的遗传算法图像分割
Image Segmentation of Basic Genetic Algorithm Based on Fuzzy Set Surface Theories
【摘要】 介绍了遗传算法的发展历史和图像分割的应用现状,分析了基于基本的遗传算法的图像分割方法,并将遗传算法与模糊集理论相结合用于医学图像分割,提出了基于模糊隶属度的遗传算法的医学图像分割方法。并对不同方法,如分割效果、计算代价进行了分析比较。
【Abstract】 This paper introduces the history of genetic algorithm and the application of medical image segmentation.And the paper analyzes the approach of image segmentation based on basic genetic algorithm.Fuzzy set theories are combined with genetic algorithm for segmentation of the medical images.The paper presents a method for medical image segmentation of genetic algorithm based on fuzzy set surface theories.Finally,all the segmentation methods are compared in both the result of segmentation and the cost of computation.
【基金】 湖北省自然科学基金资助项目(批准号:2003-AB042)
- 【文献出处】 交通与计算机 ,Computer and Communications , 编辑部邮箱 ,2005年06期
- 【分类号】TP391.41
- 【被引频次】3
- 【下载频次】194