The study on extracting blood vessel in sclera-conjunctiva and application for eight regions theory based on Traditional Chinese Medicine

• Main Authors: Yu-Yang Huang, 黃宇揚
• Other Authors: Jzau-Sheng Lin
• Format: Others
• Language: zh-TW
• Published: 2013
• Online Access: http://ndltd.ncl.edu.tw/handle/81561583622746575855

碩士 === 國立勤益科技大學 === 資訊工程系 === 101 === In this thesis, we present a method of sclera-conjunctiva segmentation and blood vessel extraction to assist the doctor of traditional Chinese Medicine to diagnose patients. We got the eyes images by through a high-resolution camera. First, the color eye images were converted to grayscale manner and clustered them into three classes by using of fuzzy c-means algorithm. Then the Sobel operator will be applied to detect the edges. Therefore, the sclera-conjunctiva region will be obtained using the morphological dilation, holes filling, and connectivity algorithm. Finally, a modified cone responses algorithm was proposed to extract the blood vessel from the sclera-conjunctiva. The experiment results show that our proposed method can effectively capture the Sclera-conjunctiva to find out the blood vessels. The proposed system can aid doctors to diagnosis for the purpose of reducing the lack of experience arising from misdiagnosis occurred.