Object Detection Image Using by Sharma Ankit (4 results)
- Softcover
Seller: preigu, Osnabrück, Germanypreigu
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Taschenbuch. Condition: Neu. Object Detection In Image Using Particle Swarm Optimization | Object Detection In Image Using Predator Prey Optimization | Ankit Sharma (u. a.) | Taschenbuch | Englisch | LAP Lambert Academic Publishing | EAN 9783847379225 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.…
- Softcover
Seller: Mispah books, Redhill, SURRE, United KingdomMispah books
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Paperback. Condition: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
- Softcover
- Print on Demand
Seller: moluna, Greven, Germanymoluna
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Sharma AnkitAnkit Sharma received his M.E. degree from Thapar University Patiala in 2010. Currently he is working as Assistant professor in Instrumentation & Control Engineering department at Nirma University, Ahmedabad, India.His a.…
- Softcover
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Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Cross-correlation and related techniques have dominated the Image processing field since the early fifties. Conventional template matching algorithm based on cross-correlation requires complex calculation and large time for object detection, which makes difficult to use them in real time applications. The shortcomings of this class of image matching methods have caused a slow-down in the development of operational automated correlation systems. In the proposed book particle swarm optimization & its variants based algorithm is used for detection of object in image. Implementation of this algorithm reduces the time required for object detection than conventional template matching algorithm. Algorithm can detect object in less number of iteration & hence less time & energy than the complexity of conventional template matching. This feature makes the method capable for real time implementation.…
