Improved MEANSHIFT method for blood cell image segmentation
Liu Danping · Computer Engineering and Applications Journal · 2010
According to the characteristics of blood cells images,the G-channel image histogram and S component histogram of the blood cell image are processed by using a method based on improved MEANSHIFT algorithm,and adaptive segment thresh- olds the white cells and other regions are obtained.Then,the white cell nucleus will be separated from the image through the threshold segmentation,and the white cell cytoplasm region is obtained by post processing.Adaptive segmentation of the white blood cells is achieved.Experimental results show that this adaptive threshold segmentation method is rapid,efficient and the ap- proach is robust for varied preparation and illumination.