Title :
An Effective Method for Mammograph Image Retrieval
Author :
Sun, Junding ; Zhang, Zhaosheng
Author_Institution :
Sch. of Comput. Sci. & Technol., Henan Polytech. Univ., Jiaozuo
Abstract :
A novel retrieval method for mammograph images was proposed in this paper. The texture structure of mammograph image was firstly extracted by the maximum and minimum of local intensity. Then, a new texture feature, distortion constraint, was introduced based on the speciality of the region of interest. Combined with the weighted moments, the new descriptor was given as an index for mammograph image retrieval. By comparing with the existing methods, experiment results show that the new method has higher performance and efficiency in retrieval and classification of mammograph images.
Keywords :
image classification; image retrieval; image texture; mammography; medical image processing; distortion constraint; mammograph image classification; mammograph image retrieval; texture feature; Biomedical imaging; Computer aided diagnosis; Content based retrieval; Feature extraction; Feedback; Image retrieval; Information retrieval; Lesions; Medical diagnostic imaging; Statistical distributions;
Conference_Titel :
Computational Intelligence and Security, 2008. CIS '08. International Conference on
Conference_Location :
Suzhou
Print_ISBN :
978-0-7695-3508-1
DOI :
10.1109/CIS.2008.118
