<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>Image-matching is a basic task in image procession used to (geometrically) match two or more images such as different times, different sensors and different view points. Improved image-matching technology has been widely applied in medical image, remote sensing image, computer vision military and so on. What put forward at the present can be most divided into matching method based on gray and features. The article presents a scheme that is based on subtraction images matching with dynamic selection of templates, which overcomes these more sensitive disadvantages like gray, rotate, deformation and occlusion to achieve accurate calibration for different images.</p>
</abstract>

Image-matching is a basic task in image procession used to (geometrically) match two or more images such as different times, different sensors and different view points. Improved image-matching technology has been widely applied in medical image, remote sensing image, computer vision military and so on. What put forward at the present can be most divided into matching method based on gray and features. The article presents a scheme that is based on subtraction images matching with dynamic selection of templates, which overcomes these more sensitive disadvantages like gray, rotate, deformation and occlusion to achieve accurate calibration for different images.

Research On Chips’ Defect Extraction Based On Image-Matching

International Journal on Smart Sensing and Intelligent Systems

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

{"article-title":"Research On Chips\u2019 Defect Extraction Based On Image-Matching"}

Image-matching is a basic task in image procession used to (geometrically) match two or more images such as different times, different sensors and different...

Research On Chips’ Defect Extraction Based On Image-Matching

Online veröffentlicht: 10. März 2014

Seitenbereich: 321 - 336

Eingereicht: 20. Juli 2013

Akzeptiert: 12. Feb. 2014

DOI: https://doi.org/10.21307/ijssis-2017-658

© 2014 Daode Zhang et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.