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1 September 1990 Image pattern algorithms using neural networks
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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.
© (1990) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Takis Kasparis, George Eichmann, Michael Georgiopoulos, and Gregory L. Heileman "Image pattern algorithms using neural networks", Proc. SPIE 1297, Hybrid Image and Signal Processing II, (1 September 1990);

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