Image pattern algorithms using neural networks
Takis Kasparis, George Eichmann, Michael Georgiopoulos, Gregory L. Heileman · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 1990
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.