Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/77066
Title: Optimized Feature Subset Selection for Classification of River Ice Types from Aerial Images
Researcher: Bharathi P.T
Guide(s): Subashini P
Keywords: Feature extraction
Feature selection
River Ice images
University: Avinashilingam Deemed University For Women
Completed Date: 03/03/2015
Abstract: To improve the quality of real time aerial river ice images using pre processing techniques To separate the different ice regions from enhanced images using pixel intensities To implement feature extraction techniques to obtain structured feature vectors using newlineseparated ice regions To propose hybrid algorithms for optimal feature subset selection to produce higher classification rate using computational intelligence technique To evaluate the performance of developed algorithms with noisy and denoised images
Pagination: 226
URI: http://hdl.handle.net/10603/77066
Appears in Departments:Department of Computer Science

Files in This Item:
File Description SizeFormat 
ptbharathi_chapter1.pdfAttached File3.14 MBAdobe PDFView/Open
ptbharathi_chapter2.pdf644.11 kBAdobe PDFView/Open
ptbharathi_chapter3.pdf1.12 MBAdobe PDFView/Open
ptbharathi_chapter4.pdf2.37 MBAdobe PDFView/Open
ptbharathi_chapter5.pdf2.46 MBAdobe PDFView/Open
ptbharathi_chapter6.pdf834.31 kBAdobe PDFView/Open
ptbharathi_chapter7.pdf6 MBAdobe PDFView/Open
ptbharathi_chapter8.pdf111.22 kBAdobe PDFView/Open
ptbharathi_chapter9.pdf213.55 kBAdobe PDFView/Open
ptbharathi_intro.pdf518.99 kBAdobe PDFView/Open


Items in Shodhganga are protected by copyright, with all rights reserved, unless otherwise indicated.