Wall-pasted cells segmentation based on active contour models and Gabor filters

作     者：Liu, Ying-Qian Cao, Mao-Yong Sun, Nong-Liang 

作者机构：Institute of Image Processing and Pattern Recognition College of Information and Electrical Engineering Shandong University of Science and Technology Qingdao 266510 China 

出 版 物：《Guangdianzi Jiguang/Journal of Optoelectronics Laser》 (Guangdianzi Jiguang)

年 卷 期：2007年第18卷第10期

页      面：1255-1259页

核心收录：

主　　题：Cells 

摘      要：In order to segment cells images accurately and efficiently we combine the model proposed by Tony F. Chan with Gabor filter. The model proposed by Tony F. Chan can detect very weak boundary based on function energy instead of the gradient. Gabor filter can enhance the cells boundaries in different angle and denoise the image. In the experiments, we firstly use Gabor filter to enhance the image with different angle, and then fuse the enhanced images to get better images. At last we use the active contour model to the fused image. The result shows the model we proposed is better than the model which dose not use Gabor filter.