| 基于灰阶熵的模糊对比度自适应图像增强算法 |
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| 引用本文： | 刘艳莉,陈燕,桂志国.基于灰阶熵的模糊对比度自适应图像增强算法[J].测试技术学报,2012,26(5):441-445. |
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| 作者姓名： | 刘艳莉 陈燕 桂志国 |
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| 作者单位： | 中北大学电子测试技术国家重点实验室,山西太原,030051 |
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| 基金项目： | 国家自然科学基金资助项目(61071192);山西省自然科学基金资助项目(2009011020-2);山西省高等学校优秀青年学术带头人支持计划资助项目 |
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| 摘 要： | 一般的数字图像存在噪声大、对比度低、边缘模糊等缺陷.为了有效地增强图像的模糊对比度,以满足后续的识别与检测要求,提出了一种基于灰阶熵的模糊对比度自适应图像增强算法.在模糊域内,根据邻域窗口灰阶熵值的大小,合理选取阈值,对阈值两侧的图像像素点进行不同程度的对比度增强处理,实现局部特征的增强.实验结果表明,该方法不仅增强了图像的整体对比度,而且有效地丰富了目标图像的细节信息,并抑制了噪声的放大.
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| 关 键 词： | 图像处理 模糊集理论 灰阶熵 模糊对比度增强 |
Adaptive Image Enhancement Algorithm Based on Fuzzy Contrast of Grey Entropy |
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| LIU Yanli
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CHEN Yan
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GUI Zhiguo.Adaptive Image Enhancement Algorithm Based on Fuzzy Contrast of Grey Entropy[J].Journal of Test and Measurement Techol,2012,26(5):441-445. |
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| Authors: | LIU Yanli CHEN Yan GUI Zhiguo |
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| Affiliation: | (National Key Laboratory for Electronic Measurement Technology, North University of China,Taiyuan 030051,China) |
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| Abstract: | The digital image usually has many defects such as noise,low contrast,blurred edges,and so on.In order to effectively enhance the fuzzy contrast to meet the subsequent identification and testing requirements,an adaptive image enhancement algorithm based on fuzzy contrast of grey entropy was proposed.In the fuzzy domain,according to the value of grey entropy in the neighborhood window,we set a rational threshold and vary the level of contrast enhancement processing of the pixels located on both sides of the threshold to realize the local feature enhancement.The experimental results show that this method not only enhances the overall image contrast and enriches details of the target image but also suppresses the noise amplification. |
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| Keywords: | image processing fuzzy set theory grey entropy fuzzy contrast enhancement |
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