Medical Image Retrieval based on co-occurrence martix and edge histogram

Author

Zhang, Peiqiang ; Zhu, Hongguang

Author_Institution

Dept. of Comput. Sci., Tonghua Normal Univ., Tonghua, China

fYear

2011

fDate

26-28 July 2011

Firstpage

5434

Lastpage

5437

Abstract

More and more techniques about Medical Image Retrieval are used in Computer-Aided Diagnosis (CAD). How to extract image features which reflect the high level semantics of an image is very important in Content Based Image Retrieval (CBIR). In accordance with this issue, there proposed a method using co occurrence matrix to extract texture feature and edge histogram to extract shape feature of medical images in this paper. Then Euclidean distance is used for medical image retrieval. Results of experimentation showed that the proposed algorithm has been applied to medical image retrieval with promising effect.

Keywords

content-based retrieval; edge detection; feature extraction; image retrieval; matrix algebra; medical image processing; Euclidean distance; co-occurrence matrix; computer aided diagnosis; content based image retrieval; edge histogram; high level semantics; image feature extraction; medical image retrieval; shape feature extraction; Feature extraction; Histograms; Image edge detection; Image retrieval; Medical diagnostic imaging; Shape; Euclidean distance; co-occurrence matrix; edge histogram; image retrieval; shape feature; texture feature;

fLanguage

English

Publisher

ieee

Conference_Titel

Multimedia Technology (ICMT), 2011 International Conference on

Conference_Location

Hangzhou

Print_ISBN

978-1-61284-771-9

Type

conf

DOI

10.1109/ICMT.2011.6001806

Filename

6001806