Paper
25 March 2003 Variogram-based feature extraction for neural network recognition of logos
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Abstract
This paper presents a new approach for extracting spatial features of images based on the theory of regionalized variables. These features can be effectively used for automatic recognition of logo images using neural networks. Experimental results on a public-domain logo database show the effectiveness of the proposed approach.
© (2003) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Tuan D. Pham "Variogram-based feature extraction for neural network recognition of logos", Proc. SPIE 5015, Applications of Artificial Neural Networks in Image Processing VIII, (25 March 2003); https://doi.org/10.1117/12.477399
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CITATIONS
Cited by 10 scholarly publications.
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KEYWORDS
Feature extraction

Neural networks

Databases

Image retrieval

Data modeling

Mathematical modeling

Shape analysis

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