| 一种基于混沌优化的图像增强算法 |
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| 引用本文： | 盛景泉,付梦印,张长江. 一种基于混沌优化的图像增强算法[J]. 计算机工程与应用, 2003, 39(12): 4-6 |
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| 作者姓名： | 盛景泉 付梦印 张长江 |
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| 作者单位： | 北京理工大学自动控制系,北京,100081 |
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| 基金项目： | 国家自然科学基金资助项目(编号:69674005) |
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| 摘 要： | 利用不完全Beta变换对红外图像进行自适应的增强处理。变换的参数利用混沌优化算法给出。为了提高优化迭代的计算速度,运用BP神经网络对不完全Beta变换进行函数逼近。仿真结果表明,该算法能自适应地进行图像增强处理。增强后的图像灰度分布更均匀,对比度得到明显提高。
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| 关 键 词： | 图像增强 混沌优化 神经网络 不完全Beta变换 |
| 文章编号： | 1002-8331-(2003)12-0004-03 |
| 修稿时间： | 2003-01-01 |
An Image Enhancement Algorithm Based on Chaotic Optimization |
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| Sheng Jingquan Fu Mengyin Zhang Changjiang. An Image Enhancement Algorithm Based on Chaotic Optimization[J]. Computer Engineering and Applications, 2003, 39(12): 4-6 |
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| Authors: | Sheng Jingquan Fu Mengyin Zhang Changjiang |
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| Abstract: | The incomplete beta transformation is used to process the infrared images enhancement.The parameters of the transformation are provided by chaotic optimization method.To improve the optimization iterative epoch,a BP neural net-work are trained to approximate the incomplete beta transformation function.The simulation results show that the above algorithm is able to adaptively enhance the images grey.The enhanced images have more equal grey distribution.So the contrast is rapidly progressed. |
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| Keywords: | Image enhancement Chaotic optimization Neural network Incomplete beta transformation |
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