DocumentCode
2344463
Title
An improved sequential edge linking model for contour detection in medical images
Author
Wei, Liu ; Bin, Zhan Shao ; Xian, Ren ; Peng, Duan
Author_Institution
ShenZhen Inst. of Inf. Technol., Shenzhen
fYear
2009
fDate
25-27 May 2009
Firstpage
3757
Lastpage
3760
Abstract
A novel approach is presented to extract the contour of an ROI (region of interest) in medical images and medical bar-code. It combines threshold segmentation method and SEL (sequential edge linking) algorithm. Threshold is obtained and used to binarilize the whole image. The binary image is processed by the SEL algorithm to extract the contour of an ROI. Experiments show that the proposed method offers excellent ability to suppress noise and false edges. It can extract the precise and continuous contour of an ROI in medical images and medical bar-code.
Keywords
bar codes; edge detection; image segmentation; medical image processing; contour detection; medical bar-code; medical image; region of interest; sequential edge linking model; threshold segmentation method; Biomedical computing; Biomedical imaging; Data mining; Deformable models; Image analysis; Image edge detection; Image segmentation; Information technology; Joining processes; Pixel; Contour; ROI; Sequential Edge Linking;
fLanguage
English
Publisher
ieee
Conference_Titel
Industrial Electronics and Applications, 2009. ICIEA 2009. 4th IEEE Conference on
Conference_Location
Xi´an
Print_ISBN
978-1-4244-2799-4
Electronic_ISBN
978-1-4244-2800-7
Type
conf
DOI
10.1109/ICIEA.2009.5138906
Filename
5138906
Link To Document