Object comparison using PDE-based wave metric on cellular neural networks
✍ Scribed by István Szatmári
- Publisher
- John Wiley and Sons
- Year
- 2006
- Tongue
- English
- Weight
- 776 KB
- Volume
- 34
- Category
- Article
- ISSN
- 0098-9886
- DOI
- 10.1002/cta.361
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✦ Synopsis
Abstract
The paper investigates PDE‐based dynamic phenomena for comparing objects and introduces a spatio‐temporal non‐linear wave metric. This metric is capable of comparing both binary and grey‐scale object pairs in a parallel way. Spatio‐temporal waves are initialized and controlled to explore the quantitative properties of objects. In addition to spatial data, even ‘hidden’, time‐related information is also extracted and used for evaluating differences and similarities. The detailed analysis of the proposed metric shows that this wave‐based approach can outperform well‐known metrics such as Hausdorff and Hamming metrics in selectivity and sensitivity. The approach in question can be efficiently implemented on massively parallel architectures, e.g. on Cellular Neural/Non‐linear Networks (CNN), providing solutions either for real time applications. Copyright © 2006 John Wiley & Sons, Ltd.