计算机应用与软件Issue(11)：187-190,4.DOI:10.3969/j.issn.1000-386x.2013.11.052
小波阈值去噪联合数学形态学的肺部图像边缘检测
ON LUNGS IMAGE EDGE DETECTION BASED ON WAVELET THRESHOLDING DENOISING AND MATHEMATICAL MORPHOLOGY
摘要
Abstract
Aiming at the problem of noise in lung image , we use wavelet transform-based threshold denoising method to eliminate the noise.Then on the basis of mathematical morphology edge detection , by choosing the omnidirectional and multi-scale structural elements fit-ting the lung image , and using the improved morphological edge detection operators , we carry out edge detection on the images with noise and after denoising, and provide the implementation method and core program with MATLAB software programming .At last, we compare the pro-posed algorithm with the edge detection results of noisy image and denoised image .The results show that the peak signal-to-noise ratio ( PSNR) and the mean squared error ( MSE) of the denoised image have a significant improvement than the noisy image has , this illustrates that the algorithm used in this paper can effectively remove the noise while preserving the edge detail , and can detect the lung image with smoother and clearer edges .This also proves that the method of wavelet threshold denoising in conjunction with mathematical morphology is effective in edge detection of the lung lesions image.关键词
小波/阈值去噪/数学形态学/边缘检测Key words
Wavelet/Threshold denoising/Mathematical morphology/Edge detection分类
信息技术与安全科学引用本文复制引用
景少玲,叶鸿瑾,白静..小波阈值去噪联合数学形态学的肺部图像边缘检测[J].计算机应用与软件,2013,(11):187-190,4.基金项目
山西省自然科学基金项目（2010011019-3）。 （）
