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