Image Fast Matching Basing on Local Information

De Jun Tang; Wei Shi Zhang; Lian Fu Li; Yan Si

doi:10.4028/www.scientific.net/AMR.268-270.1376

Paper Titles

Design and Implementation of Virtual Visualization Growth System of Individual Mongolian Pine in Plantations
p.1343

Research and Development of the Mine Geological Environment Evaluation System
p.1354

Researching and Implementing of Multiple Resources Management Information System of Maoershan Experimental Forestry Based on ArcGIS Engine
p.1360

The Design and Implementation of Urban Emergency Counter-Plan and Management System (UECMS)
p.1367

Image Fast Matching Basing on Local Information
p.1376

Face Localization in Color Images Based on Skin Color and Eye Gradient
p.1382

Semantic Fusion of Image Annotation
p.1386

The Study of the Digital Library Knowledge Services in the Process of Integration of the Tri-Networks
p.1390

Realization of RS485 Serial Communication Between Microcomputer and Multiple Inverters Based on Delphi
p.1395

HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 268-270Image Fast Matching Basing on Local Information

Image Fast Matching Basing on Local Information

Abstract:

The image matching technology is very important technology in computer vision. It is a wide range of application areas, such as aerial image analysis, industrial inspection, and stereo vision, medical, meteorological, and intelligent robots. The article introduces several important image matching technology, and some common fast image matching usage. Propose the image fast matching method basing on local information, mainly use template matching basing on local image features to achieve, by extraction of the selected feature points (including the obvious point, corner points, edge points, edge line, etc.) extracted, and through the calculation of similarity, and by using fast matching algorithm to achieve fast and accurate image matching requirements.

You might also be interested in these eBooks

View Preview

Info:

Periodical:

Advanced Materials Research (Volumes 268-270)

Pages:

1376-1381

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.268-270.1376

Citation:

Cite this paper

Online since:

July 2011

Authors:

De Jun Tang, Wei Shi Zhang, Lian Fu Li, Yan Si

Keywords:

Image Matching, KMP, Reduction Algorithm, Template Matching

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

References

[1] Jinwen li, Lei Yang, Jian Liu, Fast image matching method basing on local fractal features,. Huazhong University of Science newspaper. 1996, 24(2): 17~21.

Google Scholar

[2] Junshan Li, Xubang Shen, Image Matching Techniques Research , . Microelectronics and Computer, 2000, 17 (2): 10 ~ 14.

Google Scholar

[3] Xiaogang Yang, Dong Miu, Fei Cao, Research Facing Scene Matching Guidance for Correction of image Grayscale, 2001, (4): 47 ~ 50.

Google Scholar

[4] Jianhua Xu, Image processing and anlysis, Beijing, Science Press, 1992: 47~49.

Google Scholar

[5] Lide Wu, Computer Vision,, Fudan University Press, (1993).

Google Scholar

[6] Yuan Sun, Ganghui Zhou, Lichu Zhao, Fast algorithm for gray-scale image matching,. Shanghai Jiaotong University newspaper, 2000, (5): 702 ~ 704.

Google Scholar