A Robust Image Registration Algorithm Based on Feature Points Matching

2008 ◽  
Vol 28 (3) ◽  
pp. 454-461 ◽  
Author(s):  
刘贵喜 Liu Guixi ◽  
刘冬梅 Liu Dongmei ◽  
刘凤鹏 Liu Fengpeng ◽  
周亚平 Zhou Yaping
Keyword(s):  
Image Registration ◽  
Feature Points ◽  
Registration Algorithm ◽  
Feature Points Matching ◽  
Image Registration Algorithm ◽  
Robust Image

A New Algorithm of Image Registration Based on Contour Feature

2014 ◽  
Vol 912-914 ◽  
pp. 1092-1097
Author(s):  
Fu Hua Song ◽  
Peng Hui Li ◽  
Jian Ran Deng
Keyword(s):  
Image Registration ◽  
Rotation Angle ◽  
Closed Contour ◽  
Feature Points ◽  
Registration Algorithm ◽  
Image Registration Algorithm ◽  
Contour Feature ◽  
Circular Correlation ◽  
Open Contour ◽  
Calculated Amount

Image registration is an important task in image processing. In this paper, a new and fast contour-based image registration algorithm is proposed. In this algorithm, we fetch contour points and calculate the normal angles firstly, then figure out the histogram of the contour-feature points. By computing circular correlation of the histogram, the rotation angle can be gained. As the rotation angle is obtained, it vastly simplifies the complexity of estimating other registration parameters and reduces the calculated amount, thus achieving a fast image registration algorithm. This algorithm has the invariance of rotation, translation and scale, and it has high robustness for either open contour or closed contour.

A New Fast Multi-Source Remote Sensing Image Registration Algorithm

2012 ◽  
Vol 452-453 ◽  
pp. 950-953
Author(s):  
Yong Mei Zhang ◽  
Li Ma
Keyword(s):  
Remote Sensing ◽  
Image Registration ◽  
Control Point ◽  
Feature Points ◽  
Remote Sensing Images ◽  
Registration Algorithm ◽  
Image Registration Algorithm ◽  
Shift Rotation ◽  
Back Ground

Aiming at the registration of multi-sensor remote sensing images, a fast and effective image registration algorithm method is presented. In this algorithm, using SIFT to extract feature points, remove mismatching points through Delaunay triangulation, and introduce distance calculation into the determination of homologous control point pairs. The effect of image registration algorithm is evaluated by subjective and objective method. Experiment results show the proposed algorithm can accurately register multi-spectral and panchromatic images with some shift, rotation angles and back-ground noises, and it can inrease the speed and precision of registration.

An Automatic Robust Image Registration Algorithm for Aerial Mapping

2015 ◽  
Vol 15 (02) ◽  
pp. 1540002 ◽  
Author(s):  
Mohammad Saleh Javadi ◽  
Zulaikha Kadim ◽  
Hon Hock Woon ◽  
Khairunnisa Mohamed Johari ◽  
Norshuhada Samudin
Keyword(s):  
Image Registration ◽  
Unmanned Aerial Vehicles ◽  
Aerial Photograph ◽  
Satellite Images ◽  
Aerial Image ◽  
Registration Algorithm ◽  
Aerial Vehicles ◽  
Image Registration Algorithm ◽  
Aerial Mapping ◽  
Robust Image

Aerial mapping is attracting more attention due to the development in unmanned aerial vehicles (UAVs) and their availability and also vast applications that require a wide aerial photograph of a region in a specific time. The cross-modality as well as translation, rotation, scale change and illumination are the main challenges in aerial image registration. This paper concentrates on an algorithm for aerial image registration to overcome the aforementioned issues. The proposed method is able to sample automatically and align the sensed images to form the final map. The results are compared with satellite images that shows a reasonable performance with geometrically correct registration.

Data Fusion of Radar Image and ECDIS Based on Matching of Harris Feature Points

2011 ◽  
Vol 317-319 ◽  
pp. 2026-2029 ◽  
Author(s):  
Chuang Zhang ◽  
Zhong Zhou Fan
Keyword(s):  
Image Registration ◽  
Image Fusion ◽  
Wavelet Transformation ◽  
Transformation Method ◽  
Image Features ◽  
Image Feature ◽  
Feature Points ◽  
Registration Algorithm ◽  
Image Registration Algorithm ◽  
Electronic Chart

This paper analyzes automatic image registration algorithm, and image features of radar and electronic chart, then, image registration algorithm based on Harris feature point are given, in which the methods are specially described. Wavelet transformation method on image feature should be considered. Moreover, simulate results of image fusion.

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