DocumentCode :
2424149
Title :
Chest radiographs retrieval based on texture, shape and semantic information
Author :
Chen, Qin ; Tai, Xiaoying ; Zhao, Jieyu
Author_Institution :
Inst. of Inf. Sci. & Eng., Ningbo Univ., Zhejiang
fYear :
2008
fDate :
7-9 July 2008
Firstpage :
729
Lastpage :
734
Abstract :
This paper casts about for effective retrieving technique from imagepsilas texture, shape and semantic information, in allusion to chest radiographs, the Gray level co-occurrence matrix with Gray-Grads co-occurrence matrix in texture feature and Hu moments with Zernike moments in shape feature are compared. A prototype system is implemented. With experiment, we find the Gray-Grads co-occurrence matrix getting better retrieval performance than the Gray level co-occurrence matrix in texture, the Zernike moments getting better retrieval performance than Hu moments in shape, and an effective technique making use of texture, shape and semantic information to retrieve which companied with relevance feedback has been used. The comparison of the retrieval results show that the approach proposed in the paper is effective.
Keywords :
diagnostic radiography; image retrieval; image texture; matrix algebra; medical image processing; relevance feedback; Gray level cooccurrence matrix; Gray-Grads cooccurrence matrix; Hu moments; Zernike moments; chest radiographs retrieval; image texture; information retrieval; relevance feedback; Biomedical imaging; Content based retrieval; Data mining; Feature extraction; Feedback; Image retrieval; Information retrieval; Medical diagnostic imaging; Radiography; Shape;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Audio, Language and Image Processing, 2008. ICALIP 2008. International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-1723-0
Electronic_ISBN :
978-1-4244-1724-7
Type :
conf
DOI :
10.1109/ICALIP.2008.4590075
Filename :
4590075
Link To Document :
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