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Document Type : Latin Dissertation
Language of Document : English
Record Number : 150062
Doc. No : ET21854
Main Entry : NAMJIN KIM, M.S.
Title Proper : DWT-BASED MULTI-SCALE CLUSTERING: APPLICATIONS TO SCENE-ADAPTIVE COLOR QUANTIZATION AND AUTO WHITE BALANCING
Note : This document is digital این مدرک بصورت الکترونیکی می باشد
Abstract : Data clustering is the process of grouping similar data samples into the same category. In thewidely used clustering algorithms, the target number of cluster is assumed to be known. Inmany applications, however, the number of clusters is not defined and this number needs tobe adjusted according to the nature of the data. To cope with this issue, Multi ScaleClustering (MSC) was developed by Kehtarnavaz et al. to determine the number of clustersautomatically. However, the computational complexity associated with MSC avoids applyingMSC to real-time applications. In this dissertation, the DWT (discrete wavelet transform)-based MSC is developed to address the computational complexity aspect of MSC and thus toallow its real-time deployment. To demonstrate the effectiveness and efficiency of the,..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 : TL45042.pdf
Title and statement of responsibility and : DWT-BASED MULTI-SCALE CLUSTERING: APPLICATIONS TO SCENE-ADAPTIVE COLOR QUANTIZATION AND AUTO WHITE BALANCING [Thesis]
 
 
 
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