Paper
14 October 1997 Fast neural-network-based image segmentation
Slawomir Skoneczny, Jaroslaw Szostakowski, Marcin Iwanowski, Andrzej Orlowski
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Abstract
Image segmentation is a process in which from all the picture important information is extracted enabling distinguishing between objects and background of the image. There are several methods of image segmentation depending on different kinds of specimens and usually on some a priori knowledge of the picture. Segmentation consists of clustering and classification. In this paper an improved version of neural network implementation of image segmentation methods is presented. Both clusterization and classification stages can be performed by neural network approach. Theoretical investigations and practical results are described.
© (1997) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Slawomir Skoneczny, Jaroslaw Szostakowski, Marcin Iwanowski, and Andrzej Orlowski "Fast neural-network-based image segmentation", Proc. SPIE 3167, Statistical and Stochastic Methods in Image Processing II, (14 October 1997); https://doi.org/10.1117/12.279639
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KEYWORDS
Image segmentation

Image processing

Neural networks

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