Graded Retrieval Method Research for Medical Images
Fast, nicely retrieving similar image case from medical image database is very helpful for doctor to detect and make decision in difficulty case. This paper presents a new policy for medical images retrieval based on graded retrieving method. First, the four classical texture features, including texture energy, texture entropy, texture inertial moment and local texture calmness, are calculated by the co-occurrence matrix of the image, and utilized to accomplish the elementary retrieval. Second, the method makes use of the projection vector of the object outline using Canny edge operator to breed out the false alarms of the elementary retrieval and accomplish high-grade retrieval. Experiment results show that the method can achieve fairly high precision and recall.
Graded Retrieval Texture Feature Shape Feature Co-occurrence Matrix Canny Operator
Yin Dong Jia Dongyan Wang Yiyuan
Information Processing Center University of Science and Technology of China Hefei, Anhui Province, C Shenzhen Anke High Tech. Corp. Ltd. Shenzhen, Guang zhou Province, China
国际会议
2006 IEEE International Conference on Information Acquisition
山东威海
英文
494-498
2006-08-20（万方平台首次上网日期，不代表论文的发表时间）