𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Structural Texture Similarity Metrics for Image Analysis and Retrieval

✍ Scribed by Zujovic, Jana; Pappas, T. N.; Neuhoff, D. L.


Book ID
120058207
Publisher
IEEE
Year
2013
Tongue
English
Weight
856 KB
Volume
22
Category
Article
ISSN
1057-7149

No coin nor oath required. For personal study only.


πŸ“œ SIMILAR VOLUMES


Retrieving forest structure variables ba
✍ F. Kayitakire; C. Hamel; P. Defourny πŸ“‚ Article πŸ“… 2006 πŸ› Elsevier Science 🌐 English βš– 367 KB

Remote sensing techniques have been seen as valuable and low-cost tools for frequent forest inventory purposes. However, estimation errors of relevant forest structure variables remain too high for operational use of high spatial resolution satellite imagery, such as Landsat TM/ETM and SPOT HRV, in

Information theoretic similarity measure
✍ John Zachary; S. S. Iyengar πŸ“‚ Article πŸ“… 2001 πŸ› John Wiley and Sons 🌐 English βš– 333 KB πŸ‘ 3 views

## Abstract Content‐based image retrieval is based on the idea of extracting visual features from image and using them to index images in a database. The comparisons that determine similarity between images depend on the representations of the features and the definition of appropriate distance fun