𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Evaluation of shape descriptors for shape-based image retrieval

✍ Scribed by Amanatiadis, A.; Kaburlasos, V.G.; Gasteratos, A.; Papadakis, S.E.

Book ID
114443694
Publisher
The Institution of Engineering and Technology
Year
2011
Tongue
English
Weight
334 KB
Volume
5
Category
Article
ISSN
1751-9659

No coin nor oath required. For personal study only.

πŸ“œ SIMILAR VOLUMES

Shape based leaf image retrieval
Shape based leaf image retrieval
✍ Wang, Z.; Chi, Z.; Feng, D. πŸ“‚ Article πŸ“… 2003 πŸ› The Institution of Electrical Engineers 🌐 English βš– 615 KB
Adaptive lifting for shape-based image r
Adaptive lifting for shape-based image retrieval
✍ P.J. Oonincx; P.M. de Zeeuw πŸ“‚ Article πŸ“… 2003 πŸ› Elsevier Science 🌐 English βš– 241 KB

We propose to use adaptive wavelet lifting for image retrieval systems that are based on shape detection and multiresolution structures of objects in a database against a background of texture. To measure the performance of our approach, feature vectors are computed based on moment invariants of det

Effective invariant features for shape-b
Effective invariant features for shape-based image retrieval
✍ Shan Li; Moon-Chuen Lee; Donald Adjeroh πŸ“‚ Article πŸ“… 2005 πŸ› John Wiley and Sons 🌐 English βš– 343 KB

## Abstract The success of content‐based image retrieval (CBIR) relies critically on the ability to find effective image features to represent the database images. The shape of an object is a fundamental image feature and belongs to one of the most important image features used in CBIR. In this art