DocumentCode
1672837
Title
An Edge Detection Method for Chromosome Images
Author
Yan Wenzhong ; Shen Shuqun
Author_Institution
Sch. of Electron. Eng., Beijing Univ. of Posts & Telecommun., Beijing
fYear
2008
Firstpage
2390
Lastpage
2392
Abstract
Edge detection for chromosome images is an important step in automated chromosome analysis system. The key of edge detection for chromosome image is to detect more edge details, reduce the noise impact to the largest degree. According to this, an edge detection method based on iterative thresholding and mathematic morphology is proposed in this paper. Firstly, the iterative thresholding algorithm is applied to enhance both the edges of the chromosomes and the contrast of the image. Then, the contour extracting algorithm is applied to detect the edges of the chromosomes in the image. The experimental results show that the proposed algorithm is more efficient for chromosome image edge detection than the usually used differential operators.
Keywords
biological techniques; biology computing; cellular biophysics; edge detection; iterative methods; mathematical morphology; automated chromosome analysis system; chromosome images; contour extracting algorithm; edge detection method; image contrast; iterative thresholding; mathematic morphology; Biological cells; Frequency; Image analysis; Image edge detection; Iterative algorithms; Iterative methods; Mathematics; Morphology; Noise reduction; Shape;
fLanguage
English
Publisher
ieee
Conference_Titel
Bioinformatics and Biomedical Engineering, 2008. ICBBE 2008. The 2nd International Conference on
Conference_Location
Shanghai
Print_ISBN
978-1-4244-1747-6
Electronic_ISBN
978-1-4244-1748-3
Type
conf
DOI
10.1109/ICBBE.2008.930
Filename
4535810
Link To Document