&lt;title&gt;Image processing using evolutive neural network&lt;/title&gt;

Alexander V. Chernyavsky; В.Г. Спицын; Yuri R. Tsoy

doi:10.1117/12.723091

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<title>Image processing using evolutive neural network</title>

Alexander V. Chernyavsky В.Г. Спицын Yuri R. Tsoy

Year: 2006 Journal: Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE Pages: 652211-652211 Publisher: SPIE

DOI: 10.1117/12.723091

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Abstract

The paper present a neuroevolutionary method of monochrome and color images enhancement. The proposed method is based on local-adaptive approach to image processing. Neural network is tuned to perform enhancement of particular image using genetic algorithm with use of the generalized image evaluation criterion that relies on the contrast degree of the processed image.

Keywords:

Monochrome Computer science Artificial intelligence Artificial neural network Computer vision Image (mathematics) Image processing Pattern recognition (psychology) Contrast (vision)

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Topics

Neural Networks and Applications

Physical Sciences → Computer Science → Artificial Intelligence

Metaheuristic Optimization Algorithms Research

Physical Sciences → Computer Science → Artificial Intelligence

Image and Signal Denoising Methods

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

<title>Image processing using evolutive neural network</title>

Abstract

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