Title :
Two intelligent algorithms applied to automatic chromosome incision
Author :
Shunren, Xia ; Weidong, Xu ; Yutang, Shen
Author_Institution :
Dept. of Biomed. Eng., Zhejiang Univ., Hangzhou, China
Abstract :
The state-of the-art in commercial chromosome image acquisition was mostly grayscale. Automated Giemsa-banded chromosome image analysis has been widely used in clinical and laboratory examination. The decomposition of touching and overlapping chromosomes is a rather difficult task during the whole analysis procedure. Two intelligent chromosome incision methods are presented in this paper: the contour characteristic method and incision based on Fourier transform. The former method makes full use of the characteristic of the object contours to be decomposed, while the latter method takes advantage of the Fourier transform. By the combination of these two methods, most cases of conglutinated chromosomes have been solved, so they can play an important and excellent role in the automatic analysis of chromosome images, and greatly alleviate the manual operation of the doctor in chromosome incision.
Keywords :
Fourier transforms; biology computing; cellular biophysics; edge detection; medical image processing; Fourier transform; Karyotyping; automatic analysis; automatic chromosome incision; chromosome image; conglutinated chromosomes; contour characteristic method; edge wall; image acquisition; intelligent algorithms; object contours; Biological cells; Biomedical engineering; Fourier transforms; Gray-scale; Histograms; Image analysis; Image edge detection; Image segmentation; Laboratories; Manuals;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03). 2003 IEEE International Conference on
Print_ISBN :
0-7803-7663-3
DOI :
10.1109/ICASSP.2003.1199570