A Multi-sensor Image Registration Method Based on Harris Corner Matching

2006 ◽  
pp. 174-183 ◽  
Author(s):  
Mingyue Ding ◽  
Lingling Li ◽  
Chengping Zhou ◽  
Chao Cai
Keyword(s):  
Image Registration ◽  
Registration Method ◽  
Harris Corner

scholarly journals Automatic Image Registration

10.29007/kqbg ◽  
2018 ◽  
Author(s):  
Mehfuza Holia ◽  
Zankhana Shah
Keyword(s):  
Image Registration ◽  
Linear Transformation ◽  
User Interaction ◽  
Scale Space ◽  
Consensus Algorithm ◽  
Registration Method ◽  
Harris Corner ◽  
Feature Based ◽  
Local Gradient ◽  
Maximal Suppression

The automatic construction of large, high-resolution multi view image registration is an active area of research in the fields of image processing. Multiview image registration can be used for many different applications. The most traditional application is the construction of large aerial and satellite photographs from collections of images, construction of virtual travel etc. This proposed Automatic feature based image registration method does not allow any user interaction and perform all registration steps automatically. Here the matching points are found automatically using local feature detector i.e. harris corner detector which find invariant features using feature descriptors as oriented patches. For estimating homography between detected features of images to be registered, Homography estimator i.e. modified RANSAC (RANdom SAmple Consensus) algorithm, and direct linear transformation algorithm is used. Here features are located at Harris corners (new improved) in discrete scale-space and oriented using a blurred local gradient. To have better spatial distribution of features, adaptive non- maximal suppression algorithm is used.Feature matching are achieved using RANSAC which also uses DLT (Direct Linear Transformation) and warping is applied to achieve final registered image. This proposed algorithm can be applied for the series of images that may or may not be in the same alignment as per desired output image, thus mainly scaling, rotation and image transformation must be applied to get proper registered image.

Image registration method based on improved Harris corner detector

2010 ◽  
Vol 8 (6) ◽  
pp. 573-576 ◽  
Author(s):  
曾琦 Qi Zeng ◽  
刘浏 Liu Liu ◽  
李建勋 Jianxun Li
Keyword(s):  
Image Registration ◽  
Registration Method ◽  
Harris Corner ◽  
Harris Corner Detector

Image Registration Based on Mutual Information and Harris Corner Points

2012 ◽  
Vol 220-223 ◽  
pp. 2199-2203
Author(s):  
You E Cheng
Keyword(s):  
Image Registration ◽  
Mutual Information ◽  
Search Strategy ◽  
Improved Genetic Algorithm ◽  
Registration Method ◽  
Harris Corner ◽  
Corner Points ◽  
Maximization Of Mutual Information ◽  
Maximum Mutual Information ◽  
The One

A maximization of mutual information based image registration method is described. Firstly Due to the inferiority of image registration using maximum mutual information, the registration based on Harris algorithm to obtain corner points. Secondly, the one to one matching points could be obtained through mutual information rough match. Finally, the search strategy used the improved genetic algorithm to find the optimum value. Experimental results indicate the proposed algorithm can achieve better accuracy and good robust.

Image registration method based on multiresolution for dual-energy subtraction radiography

2012 ◽  
Author(s):  
Takahiro Kawamura ◽  
Norihiro Omae ◽  
Masahiko Yamada ◽  
Wataru Ito ◽  
Kiyosumi Kawamoto ◽  
...  
Keyword(s):  
Image Registration ◽  
Dual Energy ◽  
Registration Method ◽  
Energy Subtraction
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