本文将小波算法、分水岭算法及基于区域的模糊 C 均值算法相结合,提出了一种基于规则的二次分割方法实现对脑组织磁共振图像的分割。首先,采用一种基于小波的滤波器去除图像中的噪声;然后采用分水岭算法实现对图像的初始分割。为克服分...本文将小波算法、分水岭算法及基于区域的模糊 C 均值算法相结合,提出了一种基于规则的二次分割方法实现对脑组织磁共振图像的分割。首先,采用一种基于小波的滤波器去除图像中的噪声;然后采用分水岭算法实现对图像的初始分割。为克服分水岭算法的过度分割问题,本文提出了基于区域的模糊 C 均值(RFCM)聚类算法实现对过度分割区域的合并。尽管分水岭算法存在过度分割现象,仍有一些区域分割得并不完全,尤其是在脑脊液与灰质,或灰质与白质的过渡区域。为此,本文提出一种局部区域连续性与全局信息相结合的基于规则的多阈值分割方法,对分水岭算法初始分割不完全的区域再次分割。通过对大量模拟数据和真实数据分割的实验证明了此方法的准确性和可靠性。展开更多
An irregular segmented region coding algorithm based on pulse coupled neural network(PCNN) is presented. PCNN has the property of pulse-coupled and changeable threshold, through which these adjacent pixels with approx...An irregular segmented region coding algorithm based on pulse coupled neural network(PCNN) is presented. PCNN has the property of pulse-coupled and changeable threshold, through which these adjacent pixels with approximate gray values can be activated simultaneously. One can draw a conclusion that PCNN has the advantage of realizing the regional segmentation, and the details of original image can be achieved by the parameter adjustment of segmented images, and at the same time, the trivial segmented regions can be avoided. For the better approximation of irregular segmented regions, the Gram-Schmidt method, by which a group of orthonormal basis functions is constructed from a group of linear independent initial base functions, is adopted. Because of the orthonormal reconstructing method, the quality of reconstructed image can be greatly improved and the progressive image transmission will also be possible.展开更多
文摘本文将小波算法、分水岭算法及基于区域的模糊 C 均值算法相结合,提出了一种基于规则的二次分割方法实现对脑组织磁共振图像的分割。首先,采用一种基于小波的滤波器去除图像中的噪声;然后采用分水岭算法实现对图像的初始分割。为克服分水岭算法的过度分割问题,本文提出了基于区域的模糊 C 均值(RFCM)聚类算法实现对过度分割区域的合并。尽管分水岭算法存在过度分割现象,仍有一些区域分割得并不完全,尤其是在脑脊液与灰质,或灰质与白质的过渡区域。为此,本文提出一种局部区域连续性与全局信息相结合的基于规则的多阈值分割方法,对分水岭算法初始分割不完全的区域再次分割。通过对大量模拟数据和真实数据分割的实验证明了此方法的准确性和可靠性。
基金National Natural Science Foundation of China(60572011) 985 Special Study Project(LZ85 -231 -582627)
文摘An irregular segmented region coding algorithm based on pulse coupled neural network(PCNN) is presented. PCNN has the property of pulse-coupled and changeable threshold, through which these adjacent pixels with approximate gray values can be activated simultaneously. One can draw a conclusion that PCNN has the advantage of realizing the regional segmentation, and the details of original image can be achieved by the parameter adjustment of segmented images, and at the same time, the trivial segmented regions can be avoided. For the better approximation of irregular segmented regions, the Gram-Schmidt method, by which a group of orthonormal basis functions is constructed from a group of linear independent initial base functions, is adopted. Because of the orthonormal reconstructing method, the quality of reconstructed image can be greatly improved and the progressive image transmission will also be possible.
