Texture Based Segmentation of Breast Tumors in Ultrasound Images

• Main Authors: Tzung-Shin Liu, 呂宗鑫
• Other Authors: Wen-Jia Kuo
• Format: Others
• Language: zh-TW
• Published: 2009
• Online Access: http://ndltd.ncl.edu.tw/handle/82421045063308231500

碩士 === 元智大學 === 資訊管理學系 === 97 === In this study, we propose an automatic texture based segmentation method for breast tumors in ultrasound images. Image processing techniques are used to segment the contour of breast tumors to assist doctors for further differential diagnosis. The correlation coefficients were selected as the main texture feature to represent the characteristics breast tumor. The modified colony algorithm with optimum searching stratagem was then used to find the relationship among pixels. The inverse mapping and region classification were used to classify the position of pixels. Finally, the morphologic operations are used to modify the contour of the tumor. Experimental results show that the overall accepted rate is up to 94 % both on benign and malignant tumors of the ultrasound images. The proposed method can achieve the purpose of enhancing the accuracy of automatic segmentation effectively to assist further diagnosis.