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Object Detection In Image Using Particle Swarm Optimization
Contributor(s): Sharma, Ankit (Author), Singh, Nirbhow Jap (Author)

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 ISBN: 3847379224     ISBN-13: 9783847379225
Publisher: LAP Lambert Academic Publishing
OUR PRICE: $50.27  

Binding Type: Paperback
Published: February 2012
Qty:
Additional Information
BISAC Categories:
- Mathematics | Probability & Statistics - General
Physical Information: 0.19" H x 6" W x 9" L (0.28 lbs) 80 pages
 
Descriptions, Reviews, Etc.
Publisher Description:
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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