DocumentCode
419714
Title
Shape similarity image retrieval by hypothesis and test
Author
Sangineto, Enver
Author_Institution
Centro di Ricerca in Matematica Pura e Applicata, Rome, Italy
Volume
2
fYear
2004
fDate
23-26 Aug. 2004
Firstpage
1017
Abstract
Image retrieval by shape similarity systems usually either focus their attention on images with isolated objects (uniform backgrounds and no occluding objects) or perform time consuming exhaustive initializations to localize the portion of the image possibly containing the searched shape. We propose a content based image retrieval (CBIR) method merging classic alignment techniques for an efficient shape localization with an innovative verification strategy able to deal with an inexact matching between the searched and the found shape.
Keywords
content-based retrieval; image retrieval; content based image retrieval method; shape localization; shape similarity systems; Content based retrieval; Deformable models; Image edge detection; Image processing; Image retrieval; Image segmentation; Object recognition; Postal services; Shape; Testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Pattern Recognition, 2004. ICPR 2004. Proceedings of the 17th International Conference on
ISSN
1051-4651
Print_ISBN
0-7695-2128-2
Type
conf
DOI
10.1109/ICPR.2004.1334432
Filename
1334432
Link To Document