A Co-occurrence Matrix algorithm used for medical image

Author

Fu, Lidong ; Zhang, Bin

Author_Institution

Sch. of Inf. Sci. & Eng., Shenyang Ligong Univ., Shenyang, China

Volume

2

fYear

2011

Firstpage

1318

Lastpage

1321

Abstract

Techniques of Medical Image Retrieval and Classification are used popularly in Computer-Aided Diagnosis. How to extract image features which reflect the content of an image is very important in Medical Image Retrieval and Classification. In order to solve this problem, there proposed a method using Gray-Cell difference Co-occurrence Matrix (GCCM) to extract texture feature of medical images in this paper. Then Euclidean distance and Support Vector Machine (SVM) are used for classification. Results of experiments showed that the proposed algorithm is effective on medical image retrieval and classification.

Keywords

image classification; image retrieval; matrix algebra; medical image processing; support vector machines; Euclidean distance; computer-aided diagnosis; gray-cell difference co-occurrence matrix; image features; medical image classification; medical image retrieval; support vector machine; texture feature; Biomedical imaging; Feature extraction; Head; Heating; Magnetic heads; Programming; Support vector machines; Euclidean distance; co-occurrence matrix; image retrieval; support vector machine; texture feature;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Science and Network Technology (ICCSNT), 2011 International Conference on

Conference_Location

Harbin

Print_ISBN

978-1-4577-1586-0

Type

conf

DOI

10.1109/ICCSNT.2011.6182203

Filename

6182203