2D Log gabor and SVD based parallel texture feature extraction usingNVIDIA GPU
Cataloged from PDF version of thesis report.
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BRAC University
2016
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| 在线阅读: | http://hdl.handle.net/10361/5397 |
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10361-53972022-01-26T10:04:53Z 2D Log gabor and SVD based parallel texture feature extraction usingNVIDIA GPU Raja, Sharif Ahmmad Ratul, Aminur Rab Niloy, Sakib Anjum Uddin, Jia Department of Computer Science and Engineering, BRAC University Computer science and engineering CSE NVIDIA GPU Cataloged from PDF version of thesis report. Includes bibliographical references (page 56-61). This thesis report is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2016. Texture feature is one of the most popular technique in image segmentation, classification, retrieval and many others. Now a days, among other ways of texture feature extraction, Gabor filtering has been widely used. Here, we are presenting a well ordered two dimensional texture feature extraction method. First, we convert the image to gray level. Then a 2D Log Gabor filter with different frequencies decomposed with the SVD algorithm applies on each converted part of gray level image to extract appropriate distinctive texture information. To evaluate the performance of proposed model, we utilize singular values of SVD as a feature vector. For classifier, we use Naïve Bayes classifier for training and testing our experimental dataset. In our experimental set up we utilize an NVDIA GeForce GTX780 graphics card. Experimental result showed this parallel implementation of our model is56X faster than conventional CPU implementation. Sharif Ahmmad Raja Aminur Rab Ratul Sakib Anjum Niloy B. Computer Science and Engineering 2016-05-26T12:21:36Z 2016-05-26T12:21:36Z 2016 4/20/2016 Thesis ID 12101092 ID 12101116 ID 12101085 http://hdl.handle.net/10361/5397 en BRAC University thesis are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. 31 pages application/pdf BRAC University |
| institution |
Brac University |
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Institutional Repository |
| language |
English |
| topic |
Computer science and engineering CSE NVIDIA GPU |
| spellingShingle |
Computer science and engineering CSE NVIDIA GPU Raja, Sharif Ahmmad Ratul, Aminur Rab Niloy, Sakib Anjum 2D Log gabor and SVD based parallel texture feature extraction usingNVIDIA GPU |
| description |
Cataloged from PDF version of thesis report. |
| author2 |
Uddin, Jia |
| author_facet |
Uddin, Jia Raja, Sharif Ahmmad Ratul, Aminur Rab Niloy, Sakib Anjum |
| format |
Thesis |
| author |
Raja, Sharif Ahmmad Ratul, Aminur Rab Niloy, Sakib Anjum |
| author_sort |
Raja, Sharif Ahmmad |
| title |
2D Log gabor and SVD based parallel texture feature extraction usingNVIDIA GPU |
| title_short |
2D Log gabor and SVD based parallel texture feature extraction usingNVIDIA GPU |
| title_full |
2D Log gabor and SVD based parallel texture feature extraction usingNVIDIA GPU |
| title_fullStr |
2D Log gabor and SVD based parallel texture feature extraction usingNVIDIA GPU |
| title_full_unstemmed |
2D Log gabor and SVD based parallel texture feature extraction usingNVIDIA GPU |
| title_sort |
2d log gabor and svd based parallel texture feature extraction usingnvidia gpu |
| publisher |
BRAC University |
| publishDate |
2016 |
| url |
http://hdl.handle.net/10361/5397 |
| work_keys_str_mv |
AT rajasharifahmmad 2dloggaborandsvdbasedparalleltexturefeatureextractionusingnvidiagpu AT ratulaminurrab 2dloggaborandsvdbasedparalleltexturefeatureextractionusingnvidiagpu AT niloysakibanjum 2dloggaborandsvdbasedparalleltexturefeatureextractionusingnvidiagpu |
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1814307033973784576 |