|
Abstract
|
Article Information:
A Segmentation and Recognition Method of Rigid Image Targets
Jian Cao, Haisheng Li, Qiang Cai and Shilong Guo
Corresponding Author: Jian Cao
Submitted: March 23, 2012
Accepted: April 20, 2012
Published: August 15, 2012 |
Abstract:
|
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.
Key words: Corner pointer, image segmentation, neural network, rigid target, target recognition, visual word,
|
|
Abstract
|
PDF
|
HTML |
|
Cite this Reference:
Jian Cao, Haisheng Li, Qiang Cai and Shilong Guo, . A Segmentation and Recognition Method of Rigid Image Targets. Research Journal of Applied Sciences, Engineering and Technology, (16): 2728-2734.
|
|
|
|
 |
ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
 |
| Information |
|
|
|
|
| Sales & Services |
|
|
|
|
