Phase correlation algorithm for multicomponent images

2000 ◽  
Author(s):  
Riccardo Bernardini ◽  
Antonio Vettore
Keyword(s):  
Phase Correlation ◽  
Correlation Algorithm ◽  
Multicomponent Images

scholarly journals A Novel Frequency Domain Iterative Image Registration Algorithm Based on Local Region Extraction

2015 ◽  
Vol 2015 ◽  
pp. 1-8 ◽  
Author(s):  
Xiujie Qu ◽  
Haili Huo ◽  
Sitong Lian ◽  
Fei Zhao
Keyword(s):  
High Speed ◽  
Large Angle ◽  
Correlation Method ◽  
Target Position ◽  
Local Region ◽  
Phase Correlation ◽  
Geometric Distortion ◽  
Speeded Up Robust Features ◽  
Correlation Algorithm ◽  
Region Extraction

Because of the differences of imaging time, position between sensor and target position, scaling, rotation, translation, and other transformations between the series of images will be generated by the imaging system. The conventional phase correlation algorithm has been widely applied because of its advantages of high speed, precision, and weak influence of the geometric distortion when computing these changing parameters. However, when the scaling factor and the rotation angle are too large, it is difficult to use the conventional phase correlation method for high precision registration. To solve this problem, this paper presents a novel method, which combines the speeded up robust features algorithm and the phase correlation method under the log polar. Through local region extraction and reusing a two-step iterative phase correlation algorithm, this method avoids excessive computation and the demand of characteristics of the image and effectively improves the accuracy of registration. A plurality of visible light image simulation verifies that this is a fast, accurate, and robust algorithm, even when the image has large angle rotation and large multiple scaling.

A windowed phase correlation algorithm for subpixel motion estimation

2010 ◽  
Author(s):  
Yueting Chen ◽  
Jiagu Wu ◽  
Qi Li ◽  
Zhihai Xu ◽  
Huajun Feng
Keyword(s):  
Motion Estimation ◽  
Phase Correlation ◽  
Correlation Algorithm

Appliсation of the phase correlation algorithm and its extension in the optical stabilizer of unmanned aerial vehicles

2017 ◽  
pp. 111-119
Author(s):  
O.L. Dreval ◽  
◽  
А.Yu. Doroshenko ◽  
◽  
Keyword(s):  
Computational Complexity ◽  
Embedded Systems ◽  
Unmanned Aerial Vehicles ◽  
Phase Correlation ◽  
Absolute Position ◽  
Correlation Algorithm ◽  
Aerial Vehicles ◽  
Algorithm Implementation

The use of the phase correlation algorithm as the basis of unmanned aerial vehicles (UAV) Optical Stabilizer on purpose to determine the displacement of the housing relative to the surface is described. Also, the possibility of application of the phase correlation algorithm extensions to increase accuracy and reduce computing costs is considered. The algorithm implementation in bot MATLAB language and C is provided. The computational complexity of the algorithm implementation in C was experimentally analyzed in the scope of embedded systems. The proposed algorithm gives not only an auxiliary possibility to stabilize the aircraft position but also to calculate absolute position of the aircraft in space.

Detection of motor rotor position based on image reversible phase-correlation algorithm

2013 ◽  
Vol 21 (6) ◽  
pp. 1613-1620 ◽  
Author(s):  
赵吉文 ZHAO Ji-wen ◽  
黄彪 HUANG Biao ◽  
王荔枝 WANG Li-zhi ◽  
吴红标 WU Hong-biao
Keyword(s):  
Phase Correlation ◽  
Rotor Position ◽  
Correlation Algorithm ◽  
Reversible Phase
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