Title :
Comprehensive applying watershed algorithm in segmentation of CT brain images
Author :
Zhu Bing-li ; Xiong Jiang ; Tan Xiao-ling
Author_Institution :
Exp. Center, Chongqing Three Gorges Univ., Chongqing, China
Abstract :
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 skull image that is good at de-noising, detail accepting and over segmentation controlling. 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.
Keywords :
brain; computerised tomography; image denoising; image reconstruction; image segmentation; medical image processing; CT brain image segmentation; anaphase image processing; binary skull image; gradient reconstruction; image denoising; multithreshold value; watershed segmentation; Algorithm design and analysis; Biomedical imaging; Brain; Computed tomography; Image reconstruction; Image segmentation; Noise reduction; CT brain image; MATLAB; alues; image segmentation; multi-threshold; watershed algorithm;
Conference_Titel :
Information Technology and Artificial Intelligence Conference (ITAIC), 2011 6th IEEE Joint International
Conference_Location :
Chongqing
Print_ISBN :
978-1-4244-8622-9
DOI :
10.1109/ITAIC.2011.6030155
