Title

Image Pattern Algorithms Using Neural Networks

Abstract

The ability to classify texture regions in images is considered to be an important aspect of scene analysis. The information gained from such classification can be used by a computer vision system to assist in image segmentation as well as object identification. In this paper, the use of a neural network model in performing classification of images containing regular textures is investigated. The texture features used in the classification process are Hough transform-based descriptors. The performance and capabilities of the neural network approach are then compared to classical technique utilizing a linear associative memory.

Publication Date

12-1-1990

Publication Title

Proceedings of SPIE - The International Society for Optical Engineering

Volume

1297

Number of Pages

298-306

Document Type

Article; Proceedings Paper

Personal Identifier

scopus

Socpus ID

0025632128 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/0025632128

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