DocumentCode :
3181780
Title :
Image mining using association rule
Author :
Fatma, Shaikh Nikhat ; Nashipudimath, Madhu
Author_Institution :
Dept. Of Comput., Mumbai Univ., New Panvel, India
fYear :
2011
fDate :
11-14 Dec. 2011
Firstpage :
587
Lastpage :
593
Abstract :
Image mining deals with the extraction of image patterns from a large collection of images. Clearly, image mining is different from low-level computer vision and image processing techniques because the focus of image mining is in extraction of patterns from large collection of images, whereas the focus of computer vision and image processing techniques is in understanding and / or extracting specific features from a single image. While there seems to be some overlaps between image mining and content-based retrieval (both are dealing with large collection of images), image mining goes beyond the problem of retrieving relevant images. In image mining, the goal is the discovery of image patterns that are significant in a given collection of images.
Keywords :
content-based retrieval; data mining; image retrieval; association rule; computer vision; content-based retrieval; feature extraction; image mining; image pattern discovery; image pattern extraction; image processing techniques; Association rules; Biomedical imaging; Databases; Feature extraction; Object recognition; Shape; Image mining (IM); function-driven; information driven; knowledge driven; knowledge remounting;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information and Communication Technologies (WICT), 2011 World Congress on
Conference_Location :
Mumbai
Print_ISBN :
978-1-4673-0127-5
Type :
conf
DOI :
10.1109/WICT.2011.6141311
Filename :
6141311
Link To Document :
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