A NEURAL NETWORK APPROACH TO ILLUMINATION INVARIANT COLOR NORMALIZATION

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" A NEURAL NETWORK APPROACH TO ILLUMINATION INVARIANT COLOR NORMALIZATION "

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]