@inproceedings{88c449813f3e42a59b4011e5ee9b25e5,
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.",
author = "T. Kasparis and G. Eichmann and M. Georgiopoulos and Heileman, {G. L.}",
year = "1990",
language = "English (US)",
isbn = "0819403482",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
publisher = "Publ by Int Soc for Optical Engineering",
pages = "298--306",
editor = "Casasent, {David P.} and Tescher, {Adnrew G.}",
booktitle = "Proceedings of SPIE - The International Society for Optical Engineering",
note = "Hybrid Image and Signal Processing II ; Conference date: 18-04-1990 Through 20-04-1990",
}