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机构地区:[1]广东工业大学信息工程学院数字图像技术研究所,广东广州510006
出 处:《计算机技术与发展》2009年第6期124-126,130,共4页Computer Technology and Development
基 金:国家自然科学基金资助项目(60572078)
摘 要:为了改善骨科X线片的清晰度,增强其对比度,突出骨骼的细节及边缘,文中提出了一种有效的混合图像增强算法。该算法首先用拉普拉斯变换突出图像的细节,用梯度法突出其边缘,接着用平滑过的梯度图像掩蔽拉普拉斯图像,再经过二阶巴特沃思高通滤波和高频加强滤波后得到锐化图像,最后经过灰度变换得到最终的增强图像。实验结果表明该算法比传统的采用单一算法如灰度变换、直方图均衡化或对比度自适应直方图均衡化的效果更好。In order to improve the definition of the Orthopedic X - ray image, enhance its contrast and highlight the details and edge of the bones, an effective and mixed algorithm for image enhancement is presented in this paper. Firstly, Laplace transform was used to stress the image details and Gradient Method was used to stress the image edge in the algorithm. Secondly, the Gradient image after smoothing processing was used to mask the Laplace image, and then the sharpening image was got by Second Order Butterworth High Pass Filter and High Frequency Emphasis Filter. Finally, the enhanced image was got by gray level transformation, the experiment result proves that the algorithm is better than the traditional algorithms used gray level transformation, histogram equalization or contrast - limited adaptive histogram equalization lonely.
分 类 号:TP391[自动化与计算机技术—计算机应用技术]
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