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2012 (Vol. 4, Issue: 16)
Article Information:

A Segmentation and Recognition Method of Rigid Image Targets

Jian Cao, Haisheng Li, Qiang Cai and Shilong Guo
Corresponding Author:  Jian Cao 

Key words:  Corner pointer, image segmentation, neural network, rigid target, target recognition, visual word,
Vol. 4 , (16): 2728-2734
Submitted Accepted Published
March 23, 2012 April 20, 2012 August 15, 2012

In this study, we proposed a robust method to segment and recognize the rigid image targets automatically. First, the codebook is constructed by the local features from a certain kind of objects. Then, the target is segmented from the complex background as full as possible based on the prior knowledge which is acquired from the codebook. Moreover, a novel corner feature is proposed. This feature is invariant to translation, rotation, scale change and is shown robust to addition of noise. We present a system to recognize the object with changes in 3D viewpoint using this feature and BP network. The performance on the obtained experimental results demonstrated that the proposed method is more effective than the other three ones.
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  Cite this Reference:
Jian Cao, Haisheng Li, Qiang Cai and Shilong Guo, 2012. A Segmentation and Recognition Method of Rigid Image Targets.  Research Journal of Applied Sciences, Engineering and Technology, 4(16): 2728-2734.
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ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
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