International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
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Volume 47 - Issue 15 |
Published: June 2012 |
Authors: H. B. Kekre, Sudeep Thepade, Rik Kamal Kumar Das, Saurav Ghosh |
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H. B. Kekre, Sudeep Thepade, Rik Kamal Kumar Das, Saurav Ghosh . Performance Boost of Block Truncation Coding based Image Classification using Bit Plane Slicing. International Journal of Computer Applications. 47, 15 (June 2012), 45-48. DOI=10.5120/7268-0447
@article{ 10.5120/7268-0447, author = { H. B. Kekre,Sudeep Thepade,Rik Kamal Kumar Das,Saurav Ghosh }, title = { Performance Boost of Block Truncation Coding based Image Classification using Bit Plane Slicing }, journal = { International Journal of Computer Applications }, year = { 2012 }, volume = { 47 }, number = { 15 }, pages = { 45-48 }, doi = { 10.5120/7268-0447 }, publisher = { Foundation of Computer Science (FCS), NY, USA } }
%0 Journal Article %D 2012 %A H. B. Kekre %A Sudeep Thepade %A Rik Kamal Kumar Das %A Saurav Ghosh %T Performance Boost of Block Truncation Coding based Image Classification using Bit Plane Slicing%T %J International Journal of Computer Applications %V 47 %N 15 %P 45-48 %R 10.5120/7268-0447 %I Foundation of Computer Science (FCS), NY, USA
Image classification demands major attention with increasing volume of available image data. The paper has shown performance boosting of image classification after associating Bit Plane Slicing with Block Truncation Coding (BTC) for feature extraction. Here more significant bit planes were considered for extraction of feature vectors. RGB color space was considered to carry out the experimentation. A database of 900 images was used for evaluation purpose.