Please use this identifier to cite or link to this item: http://ktisis.cut.ac.cy/handle/10488/7208
Title: Image pattern algorithms using neural networks
Authors: Kasparis, Takis 
Eichmann, George 
Georgiopoulos, Michael N.
Keywords: Image processing
Neural networks
Algorithms
Pattern recognition
Issue Date: 1990
Publisher: SPIE
Source: Hybrid Image and Signal Processing II, 1990, Orlando, Florida
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.
URI: http://ktisis.cut.ac.cy/handle/10488/7208
ISSN: 0277786X
DOI: 10.1117/12.21323
Rights: © 1990 SPIE
Appears in Collections:Δημοσιεύσεις σε συνέδρια/Conference papers

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