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Document Type : Latin Dissertation
Language of Document : English
Record Number : 150742
Doc. No : ET22534
Main Entry : Xiaopeng Cai
Title Proper : A NEURAL NETWORK APPROACH TO ILLUMINATION INVARIANT COLOR NORMALIZATION
Note : This document is digital این مدرک بصورت الکترونیکی می باشد
Abstract : Color simplifies object identification and extraction from a scene. Many computervision systems use color in object recognition. Color depends on light conditions. Smallvariations in intensity and color illumination can lead to complete recognition failure.Using a color constancy or normalization algorithm in pre-processing helps overcomethis problem.We present a neural network approach to illuminant invariant color normalization.We use a neural network to estimate nonlinear mappings....-...,..tested for theQ1 PC1 bus cardBoth these projects mere sofixare des elopment efforts tonards contributing to dlfferentaspects of Roboucs and lZ1echatronics projects m the Controls and Roboucs Group..
Subject : Electericl tess
: برق
electronic file name : TL45757.pdf
Title and statement of responsibility and : A NEURAL NETWORK APPROACH TO ILLUMINATION INVARIANT COLOR NORMALIZATION [Thesis]
 
 
 
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