Phase Correlation Supported Low Altitude Images Matching with Repeated Texture

HE Haiqing; ZHANG Yongjun; HUANG Shengxiang
October 2014
Geomatics & Information Science of Wuhan University;Oct2014, Vol. 39 Issue 10, p1204
Academic Journal
Low altitude image matching with repeated texture may have a small amount of corresponding points or be unsuccessful because of ambiguous matching. To solve the problem, a phase correlation method supportes low altitude aerial image matching with repeated texture is proposed. The method estimates the traversal range of corresponding points, including translation, rotation, and scale space. The traversal range is estimated by a cross-power spectrum of the image Fourier transform and a complex conjugate of another image Fourier transform. Next, Harris-Laplace scale space is estimated by the scale traversal range and corners detection. Then, corresponding point matching is achieved by a correlation coefficient and epipolar constraint. The experimental results show that the method may be reliable and practical for low altitude images matching with a repeated texture, and obtains enough and well-distributed corresponding points.


Related Articles

  • Fractional Fourier Transform Image Time-Frequency Information Research. Jingfang Wang // Sensors & Transducers (1726-5479);Sep2014, Vol. 179 Issue 9, p168 

    Fractional Fourier Transform (FRFT) contains simultaneity the time-frequency information of the signal, and it is considered a new tool for time-frequency analysis. The energy distribution of image is analyzed and simulated in this paper, the characteristic of the amplitude and phase is...

  • Automatic Control Point Generation for Satellite Image Registration. Raveendran, Dhanya; Priyadarsini, S. // International Journal of Advanced Research in Computer Science;May/Jun2013, Vol. 4 Issue 3, p196 

    Image registration is the process of spatially aligning two or more images of the same scene taken at different times, from different viewpoints, and/or by different sensors. In this process, two images (the base image and sensed image) are geometrically aligned in order to compare the...

  • Alternative automatic alignment method for specimen tilt-series images based on back-projected volume data cross-correlations. Tomonaga, Sachihiko; Baba, Misuzu; Baba, Norio // Microscopy;Aug2014, Vol. 63 Issue 4, p279 

    We devised a new automatic image alignment method for a specimen tilt series; this method is based on the volume data cross-correlation among 3-D cross-sections reconstructed from different sets of projection images (including a single image) for tilt-series alignment or tilt-axis search...

  • An Improved Medical Image Registration Method. Yunjie Chen; Jin Wang; Lin Fang; Jianwei Zhang; Yuhui Zheng // International Journal of Hybrid Information Technology;Apr2012, Vol. 5 Issue 2, p153 

    Image registration is a necessary pre-processing step before quantitative analysis of brain MR data. A novel variational optical flow approach for image registration is proposed in this paper. The advantages of our method are as follows. We coupled bias correction and optical flow image...

  • Research of Algorithm and Localization of Robot Based on Image Registration Technology. Wang Jun; Ni xiao Hua // Applied Mechanics & Materials;2014, Issue 697, p434 

    In order to improve the localization capability of the robot, digital image matching which based on the frequency domain was adopted, the method could reduce the impact of environmental factors, and adopts the sub-pixel subdivision pixel matching technology through curve fitting, Experimental...

  • ENHANCEMENT OF THE VERTICAL ACCURACY OF LIDAR DATA WITH THE USE OF AUTOMATIC IMAGE MATCHING. Dominik, Wojciech // Proceedings of the International Multidisciplinary Scientific Ge;2014, Vol. 3, p161 

    The aim of this research was to verify whether it is possible to use the results of aerial image matching to increase the vertical accuracy of LIDAR data. The experiment consisted in generating a point cloud through automatic image matching, which then was compared with the LIDAR data. Image...

  • A New Method Based On Image Registration Algorithm. Weiwei Hu // Applied Mechanics & Materials;2014, Issue 556-562, p3305 

    We introduce a new algorithm for Image Registration and Stitching. The algorithm is designed to be extremely efficient and fast in its execution and is intended for use in stitching images extracted from a video stream of a camera. This algorithm is not universally applicable to all the image...

  • POINT CLOUD REGISTRATION WITH SURFACE DESCRIPTORS. de la Fraga, Luis Gerardo; L√≥pez-Escogido, Daniel // International Conference Interfaces & Human Computer Interaction;2016, p309 

    In computer vision a common problem is the registration of 3D data, which consists in to minimize the sum of squares of the distance between metrical marker correspondences. Commonly used marker correspondences are points, in two or more datasets. The most popular algorithm used to solve this...

  • Novel Image Recognition Based on Subspace and SIFT. Tongfeng Sun; Shifei Ding; Zihui Ren // Journal of Software (1796217X);May2013, Vol. 8 Issue 5, p1109 

    In the light of the deep analyses of subspace recognition and SIFT recognition, a novel image recognition based on subspace and SIFT is proposed to provide a recognition from global features to minutiae features. First, subspace is used to implement coarse image recognition, gaining one or more...


Read the Article


Sorry, but this item is not currently available from your library.

Try another library?
Sign out of this library

Other Topics