| 图像分割的二维最大熵遗传算法 |
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| 引用本文： | 陈果,左洪福.图像分割的二维最大熵遗传算法[J].计算机辅助设计与图形学学报,2002,14(6):530-534. |
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| 作者姓名： | 陈果 左洪福 |
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| 作者单位： | 南京航空航天大学民航学院,南京,210016 |
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| 摘 要： | 将遗传算法运用于二维最大熵图像阈值分割法。首先对二维阈值坐标进行编码，然后依据二维最大熵准则建立适应度函数，在适当的交叉率和变异率下，最终实现强噪声干扰下图像的有效分割。分割实验表明，文中方法较一给最大熵法具有更强的抗噪声能力，较普通二维最大熵法运算速度更快。
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| 关 键 词： | 图像分割 二维最大熵 遗传算法 二维直方图 图像处理 |
| 修稿时间： | 2001年4月20日 |
2-D Maximum Entropy Method of Image Segmentation Based on Genetic Algorithm |
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| Chen Guo,Zuo Hongfu.2-D Maximum Entropy Method of Image Segmentation Based on Genetic Algorithm[J].Journal of Computer-Aided Design & Computer Graphics,2002,14(6):530-534. |
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| Authors: | Chen Guo Zuo Hongfu |
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| Abstract: | D thresholds are coded, then the fitness function is established according to the criterion function of 2 D maximum entropy. Finally the image which is disturbed by serious noise is segmented effectively under the proper crossover rate and mutation rate. Segmentation examples show that the method proposed has greater resistance capability to noise than 1 D maximum entropy approach, and is faster than the common 2 D maximum entropy approach. |
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| Keywords: | image segmentation genetic algorithm entropy 2 D histogram |
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