| 弱对比度细节模糊增强的自动参数选择 |
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| 引用本文： | 董鸿燕,沈振康,李吉成. 弱对比度细节模糊增强的自动参数选择[J]. 电光与控制, 2006, 13(5): 23-26 |
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| 作者姓名： | 董鸿燕 沈振康 李吉成 |
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| 作者单位： | 国防科技大学ATR重点实验室,长沙,410073;国防科技大学ATR重点实验室,长沙,410073;国防科技大学ATR重点实验室,长沙,410073 |
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| 摘 要： | 针对广义模糊增强算法中参数选择的主观性，提出了一种模糊参数自动调整的方法。通过分析实验得出模糊参数对图像增强效果的重要性，给出一种用图像可检测边缘度和图像熵的熵值作为图像增强的评价标准，并根据这个标准实现了原来模糊增强算法中参数的自动选择，达到图像的自动增强，提高图像中弱边缘对比度的目的。最后通过实验证明算法的有效性。
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| 关 键 词： | 图像增强 模糊增强 参数估计 熵 |
| 文章编号： | 1671-637X（2006）05-0023-04 |
| 收稿时间： | 2006-04-29 |
| 修稿时间： | 2006-04-292006-05-31 |
Automatic parameter selection for fuzzy enhancement of weak contrast details |
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| DONG Hong-yan,SHEN Zhen-kang,LI Ji-cheng. Automatic parameter selection for fuzzy enhancement of weak contrast details[J]. Electronics Optics & Control, 2006, 13(5): 23-26 |
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| Authors: | DONG Hong-yan SHEN Zhen-kang LI Ji-cheng |
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| Affiliation: | ATR laboratory, National University of Defense Technology, Changsha 410073, China |
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| Abstract: | To overcome the subjectivity of the parameter selection in generalized fuzzy enhancement algorithm, an automatic fuzzy parameter adjust method based on the fuzzy enhancement of contrast algorithm is proposed. The effect of the parameter selection on image enhancement is analyzed, and the degree of the detectable edges and the enhanced image entropy are used as criteria for evaluating enhancement quality, which are used for automatic estimation of the fuzzy parameter of the fuzzy algorithm. The contrast of the weak details of the image are enhanced. Finally the algorithm is verified to be effective through experiments. |
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| Keywords: | image enhancement fuzzy enhancement parameter estimation entropy |
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