计算技术与自动化2017，Vol.36Issue(3)：100-104,5.
基于小波变换和形态学分水岭的血细胞图像分割
Blood Cell Image Segmentation Based on Wavelet Transform and Morphological Watershed
摘要
Abstract
Method watershed to extract cells during medical image processing will easily caused segmentation and highly sensitive to noise interference .In order to solve this problem ,a new method of cell image segmentation based on wavelet transform and Morphological Watershed is proposed .Firstly ,decomposing the image by analysis of the wavelet transform multi - resolution analysis to select a suitable wavelet basis and to denoise the image by improved threshold function ,then carry out watershed transform labeled region produced by distance transform and gray reconstruction that using mathematical morphological with cell image of wavelet reconstruction after denoising .The final segmentation results will be obtained .The experimental result shows that the algorithm can extract cells stably and accurately and automatically segments adhesion cell ,which has strong robustness and adaptation .关键词
小波变换/分水岭/图像分割/粘连细胞/数学形态学Key words
wavelet transform/watershed/image segmentation/adhesion cell/mathematical morphology分类
信息技术与安全科学引用本文复制引用
黄籽博,刘任任,梁光明..基于小波变换和形态学分水岭的血细胞图像分割[J].计算技术与自动化,2017,36(3):100-104,5.基金项目
湖南省科技厅资助项目(2016GK4014) （2016GK4014）
