Title :
The improved matching method to cell extract using ellipse template
Author :
Huangfu, M. ; Konaka, S. ; Akutagawa, M. ; Emoto, T.
Author_Institution :
Grad. Sch. of Adv. Technol. & Sci., Univ. of Tokushima, Tokushima, Japan
Abstract :
Cell distributions between cancer tissue and normal tissue images are different. In this study, in order to distinguish the cancer image, image processing is used to extract cell nucleus from the images by techniques of an edge extraction and an elliptic ring template matching. The matching method is improved by one-pixel step moving and by calculating matching rates for both on-ring and in-ring. As the result, typical 4 cells in a normal tissue image have been successfully extracted with matching threshold margin of 3%, when the cell nucleus edges are extracted by thresholding an edge gradient of 4.0.
Keywords :
biological tissues; edge detection; feature extraction; gradient methods; image matching; medical image processing; cancer tissue images; cell distributions; cell extraction; cell nucleus extraction; edge extraction; edge gradient; ellipse template; elliptic ring template matching; image processing; improved matching method; normal tissue images; one-pixel step;
Conference_Titel :
Biomedical and Health Informatics (BHI), 2012 IEEE-EMBS International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4577-2176-2
Electronic_ISBN :
978-1-4577-2175-5
DOI :
10.1109/BHI.2012.6211578
