| 一种基于广义模糊性质集的图像分割方法 |
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| 引用本文： | 谢新鹏,陈武凡.一种基于广义模糊性质集的图像分割方法[J].计算机应用与软件,1999,16(2):52-56. |
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| 作者姓名： | 谢新鹏 陈武凡 |
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| 作者单位： | 广州同和第一军医大学生物医学工程系，广州同和第一军医大学生物医学工程系 广州 510515，广州 510515 |
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| 摘 要： | 本文提出了一种基于广义模糊性质集的图像分割方法，它利用图像的广义隶属函数，把图像灰度转换成广义的模糊集合，通过对图像作多次增强而实现图像分割。实验结果表明，本文提出的方法与Ｏｔｓｕ法、熵函数法和ＦＣＭ２Ｄ法相比，在分割速度和分割质量上，都有下同程度的提高。
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| 关 键 词： | 广义模糊集 图像分割 二值化 噪声 图像处理 |
AN ALGORITHM FOR IMAGE SEGMENTATION BASED ON THE GENERALIZED FUZZY SET |
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| Xie Xinpeng Chen Wufan.AN ALGORITHM FOR IMAGE SEGMENTATION BASED ON THE GENERALIZED FUZZY SET[J].Computer Applications and Software,1999,16(2):52-56. |
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| Authors: | Xie Xinpeng Chen Wufan |
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| Abstract: | In this paper, a new method for image segmentation based on the generalized fuzzy set is presented. By utilizing the generalized membership function,gray scales of image are transformed into the generalized fuzzy set, and then through image enhancement in several times, image segmentation is carried out.Compared with the Otsu method, the entropic function method and the FCM2D method, the experimental results show that the improvements can be achieved to a great extent by using this method in terms of both computation time and image quality. |
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| Keywords: | Generalized fuzzy set image segmentation smoothing binarization noice |
| 本文献已被 CNKI 维普 等数据库收录！ |
