Title :
A novel overlapping mice macrophages images segmentation method
Author :
Xia, Ruihua ; Wang, Ping ; Zhang, Wu ; Xiong, Qi
Author_Institution :
Inf. Eng. Sch., Nanchang Univ., Nanchang
Abstract :
Aiming at the overlapping phenomenon that exists among the cells in the actual mice macrophages image, this paper presents the method of image segmentation based on Otsu threshold and watershed of distance transform. The image is first segmented by Otsu threshold algorithm. Then erosion and dilation morphological operators are used to get rid of noises. Finally, the watershed algorithm based on distance transform is carried out to segment the image. Experimental results show this method works successfully in the segmentation of mice macrophages microscopic images.
Keywords :
cellular biophysics; image segmentation; medical image processing; transforms; Otsu threshold algorithm; cells; dilation morphological operator; distance transform; image segmentation method; mice macrophages image overlapping method; watershed algorithm; Biomedical imaging; Histograms; Image segmentation; Immune system; Least squares methods; Mice; Microscopy; Morphology; Pixel; Space technology; distance transformation; image segmentation; morphology; overlapping mice macrophages; watershed;
Conference_Titel :
Image Analysis and Signal Processing, 2009. IASP 2009. International Conference on
Conference_Location :
Taizhou
Print_ISBN :
978-1-4244-3987-4
DOI :
10.1109/IASP.2009.5054633