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portada object detection in image using particle swarm optimization
Type
Physical Book
Author
Publisher
Year
2012
Language
English
Pages
80
Format
Paperback
Dimensions
22.9x15.2x0.5 cm
Weight
0.13 kg.
ISBN
3847379224
ISBN13
9783847379225
Categories

object detection in image using particle swarm optimization

Ankit Sharma (Author) · Nirbhow Jap Singh (Author) · LAP Lambert Academic Publishing · Paperback

object detection in image using particle swarm optimization - Sharma, Ankit ; Singh, Nirbhow Jap

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Synopsis "object detection in image using particle swarm optimization"

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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