摘要
针对肺部区域进行毛细血管的分割提取,根据肺部图像本身的灰度信息,以及毛细血管自身的特殊性,如灰度逐渐变化、粗细不均等,主要利用区域生长法、拉普拉斯二阶微分算子等一些图像处理的算法,对较复杂的毛细血管部分进行了提取,这种方法克服了单一算法的不足之处,有效地分割出了主要血管的形状及走势,实验证明具有一定的有效性和应用价值。
In this paper,the division of pulmonary capillary extraction region,according to the lung itself,the gray image information,and capillary own characteristics,such as the gradual change in gray,uneven thickness,the main advantage of region growing method,Laplace second order differential operators and some other image processing algorithms,the more complicated parts of the extraction capillary,this method overcomes the shortcomings of a single algorithm to effectively separate out the shape and direction of major blood vessels,has proved a certain validity and application.
出处
《计算机系统应用》
2011年第5期235-237,共3页
Computer Systems & Applications
关键词
图像分割
图像增强
图像锐化
区域生长
image segmentation
image enhancement
image sharpening
region growing
