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Image retrieval using hierarchical self-organizing feature maps q
| Content Provider | Semantic Scholar |
|---|---|
| Author | Sethi, Ishwar K. Coman, I. L. |
| Copyright Year | 1999 |
| Abstract | This paper presents a scheme for image retrieval that lets a user retrieve images either by exploring summary views of the image collection at dierent levels or by similarity retrieval using query images. The proposed scheme is based on image clustering through a hierarchy of self-organizing feature maps. While the suggested scheme can work with any kind of low-level feature representation of images, our implementation and description of the system is centered on the use of image color information. Experimental results using a database of 2100 images are presented to show the ecacy of the suggested scheme. Ó 1999 Published by Elsevier Science B.V. All rights reserved. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://www.researchgate.net/profile/Ishwar_Sethi/publication/220646964_Image_retrieval_using_hierarchical_self-organizing_feature_maps/links/02e7e51c4912c20318000000.pdf |
| Alternate Webpage(s) | http://cgit.nutn.edu.tw:8080/cgit/PaperDL/GYT_080329145404.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
