Comprehensive Applying Watershed Algorithm in Segmentation of CT Brain Images
According to the multi-threshold values of CT brain images, applying watershed segmentation algorithm by comprehensive methods which take full advantage of de-noising, gradient reconstruction, watershed segmentation, binary result and so on. Getting the binary skuD image that is good at de-noising, detail accepting and over segmentation controDing. Meanwhile the program designed in MATLAB can process batches of CT brain images effectively, moreover, it can gain prophase data that is useful in anaphase image processing.
CT brain image image segmentation multi-thresholdvalues watershed algorithm MATLAB
ZHU Bing-li Xiong Jiang Tan Xiao-ling
Experimental Center Chongqing Three Gorges University, CTGU Wanzhou, Chongqing, China College of Mathematics and Computer Science Chongqing Three Gorges University, CTGU Wanzhou, Chongqi College of Physics and Electronic Engineering Chongqing Three Gorges University, CTGU Wanzhou, Chong
国际会议
重庆
英文
81-83
2011-08-20(万方平台首次上网日期,不代表论文的发表时间)