| 基于像素灰阶熵的自适应增强算法在乳腺CR图像中的应用 |
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| 引用本文： | 张明慧,张尧禹.基于像素灰阶熵的自适应增强算法在乳腺CR图像中的应用[J].光学技术,2010,36(1). |
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| 作者姓名： | 张明慧 张尧禹 |
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| 作者单位： | 1. 空军航空大学,长春,130022;中国科学院长春光学精密机械与物理研究所,长春,130033
2. 中国科学院长春光学精密机械与物理研究所,长春,130033 |
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| 基金项目： | 中科院二期创新基金资助项目(CO2E06Z) |
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| 摘 要： | 乳腺完全是由密度接近软组织构成,因此乳腺CR(Computed Radiography)放射图像对比度小,轻微的差别变化都可能是肿瘤的表现,要对其进行增强处理方能满足医生临床诊断的需要。而目前通用的乳腺CR图像增强算法对比度和噪声增强过度,丢失细节,为此提出了采用一种基于像素灰阶熵的自适应边缘增强算法对乳腺CR图像进行增强。该算法使用模糊影像增加对选择空间频率的响应,以增强乳腺CR图像结构边缘和细节;算法能根据乳腺CR图像灰度特性即像素灰阶熵来自适应的调节增强程度的加权因数K。实验证明,该算法处理后的乳腺CR图像细节丰富,信噪比高,增强后的图像具有良好的视觉效果,该算法是一种有效的适合乳腺CR医学图像的边缘细节增强算法。
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| 关 键 词： | 乳腺CR图像 自适应增强 灰阶熵 边缘细节 |
The adaptive enhancement means based on gray entropy applied in mammary gland CR image |
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| ZHANG Ming-Hui,ZHANG Yao-yu.The adaptive enhancement means based on gray entropy applied in mammary gland CR image[J].Optical Technique,2010,36(1). |
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| Authors: | ZHANG Ming-Hui ZHANG Yao-yu |
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| Institution: | 1.Air Force Aviation University;Changchun 130022;China;2.Changchun Institute of Optics;Fine Mechanics and Physics;Changchun 130033;China |
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| Abstract: | Mammary gland is composed of similar density soft tissue.Mammary gland CR image is bad contrast.Small difference vary is the possibility for checking tumour,so it is necessary to enhance mammary gland CR image to improve its visual quality in order to satisfy doctor diagnosis.However presently common enhancement algorithms,the contrast and noise is enhanced overly and image details are lost.Aiming at the defects,mammary gland CR medicine image adaptive enhancement arithmetic is put forward based on image gr... |
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| Keywords: | mammary gland CR image adaptive enhancement gray entropy edge detail |
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