SIFT & SURF on GPUs for Feature Extraction: Analysis on WANG Dataset for CBIR - Softcover

Kaur, Bhavneet; Jindal, Sonika

 
9783330034747: SIFT & SURF on GPUs for Feature Extraction: Analysis on WANG Dataset for CBIR
Softcover
ISBN 10: 3330034742 ISBN 13: 9783330034747
Verlag: LAP LAMBERT Academic Publishing, 2017

Inhaltsangabe

CBIR is required since large image databases are used both in scientific and medical domains and in the vast advertising/marketing domain.Since, images are a complex data to handle as they are composed of matrices and vectors of data and also due to multithread execution of algorithms, programmability and low cost, image processing becomes an appropriate field of achieving parallelism. GPU is a powerful graphics engine and a highly parallel programmable processor having better efficiency and high speed that overshadows CPU. A Content Based Image Retrieval system is implemented and tested on benchmark WANG database using suitable and efficient techniques so as to achieve efficient results. The feature extraction phase is parallelized on GPU processor to obtain the speed up. Sequential and parallel implementation of CBIR is done using OpenCV. SURF and SIFT algorithms when implemented on GPU show better performance for feature extraction and for retrieval of images. The execution time is noted and on comparison with its corresponding serial counterpart a considerable speed up has been achieved.

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Über die Autorin bzw. den Autor

Authors are working as Assistant Professor at Department of CSE, Shaheed Bhagat Singh State Technical Campus, Ferozepur, India. Both the authors have published several research papers in reputed International/National Journals as well as Conferences. Several research Thesis for PG students are also supervised by the authors.

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Verlag
LAP LAMBERT Academic Publishing
Erscheinungsdatum
2017
Sprache
Englisch
ISBN 10 
3330034742
ISBN 13 
9783330034747
Einband
Taschenbuch
Anzahl der Seiten
72
Kontakt zum Hersteller
Nicht verfügbar
Verantwortliche Person
Fastbook Publishing
customerservice@vdm-vsg.de

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Riga
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