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
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;
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
DOI :
10.1109/ICBBE.2008.930