Title :
The sperm video segmentation based on dynamic threshold
Author :
Xuan, Zheng Li ; Yan, Wang Zhi
Author_Institution :
Sch. of Comput. Sci. & Eng., South China Univ. of Technol., Guangzhou, China
Abstract :
In this paper, the method of threshold segmentation is introduced, which focus on the image characteristics of the sperm video, base on the dynamic threshold and combine with region growing arithmetic. The method is based on the movement characteristics and the brightness characteristics of the objective sperm to distinct, and then uses the region growing algorithm to calculate the sperm region, finally according to this gray area to determine the threshold. The results show that this method has better performance to divide the sperm goal.
Keywords :
image segmentation; medical image processing; brightness characteristics; dynamic threshold; growing arithmetic; image characteristics; movement characteristics; region growing algorithm; sperm region; sperm video segmentation; threshold segmentation; Algorithm design and analysis; Gray-scale; Heuristic algorithms; Image color analysis; Image segmentation; Machine learning; Pixel; Dynamic threshold; Image segmentation; Region growing arithmetic;
Conference_Titel :
Machine Learning and Cybernetics (ICMLC), 2010 International Conference on
Conference_Location :
Qingdao
Print_ISBN :
978-1-4244-6526-2
DOI :
10.1109/ICMLC.2010.5580766
