Object Detection In Image Using Particle Swarm Optimization: Object Detection In Image Using Predator Prey Optimization - Tapa blanda

Sharma, Ankit; Singh, Nirbhow Jap

 
9783847379225: Object Detection In Image Using Particle Swarm Optimization: Object Detection In Image Using Predator Prey Optimization
Tapa blanda
ISBN 10: 3847379224 ISBN 13: 9783847379225
Editorial: LAP LAMBERT Academic Publishing, 2012

Sinopsis

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.

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Reseña del editor

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.

Biografía del autor

Ankit 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 areas of intrest include Digital image Processing, embedded system and optimization.

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Editorial
LAP LAMBERT Academic Publishing
Año de publicación
2012
Idioma
Inglés
ISBN 10 
3847379224
ISBN 13 
9783847379225
Encuadernación
Tapa blanda
Número de páginas
80
Contacto del fabricante
no disponible
Persona responsable
no disponible