ZHAO Wei, HUANG Lidong, WANG Jun, SUN Zebin. Image Registration Using a Complete Polar Transform[J]. Chinese Journal of Electronics, 2014, 23(2): 403-408.
Citation: ZHAO Wei, HUANG Lidong, WANG Jun, SUN Zebin. Image Registration Using a Complete Polar Transform[J]. Chinese Journal of Electronics, 2014, 23(2): 403-408.

Image Registration Using a Complete Polar Transform

Funds:  This work is partly supported by National Natural Science Foundation of China-Royal Society of Edinburgh Joint Project: Next Generation Neurobiologically Inspired Autonomous Visual Surveillance Systems (No.61211130210).
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  • Corresponding author: ZHAO Wei
  • Received Date: 2013-04-01
  • Rev Recd Date: 2013-06-01
  • Publish Date: 2014-04-05
  • Image registration is widely used in image processing. Researchers have introduced image registration techniques based on the log-polar transform for its rotation and scale invariant properties. It suffers from nonuniform sampling which makes the registration results susceptible to interference. To address the problems of traditional log-polar transform, a Complete polar transform (CPT) method is proposed, which samples the image evenly to preserve the whole information of original image. An innovative projection transform is applied after CPT to obtain the rotation invariant property. We pre-matched feature points using the Scale invariant feature transform (SIFT)algorithm and re-matched them based onCPT to improve matching speed and accuracy. Experimental results show that the proposed method is accurate and robust to noise and alteration.
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  • L.G. Brown, "A survey of image registration techniques", ACM Comput. Surv., Vol.24, No.4, pp.325-376, 1992.
    B. Zitova and J. Flusser, "Image registration methods: A survey", Image Vis. Comput., Vol.21, No.11, pp.977-1000, 2003.
    Gao Feng, Li Yanghuan, Li Xiang, "A real-time image registration algorithm based on feature-index", Chinese Journal of Electronics, Vol.19, No.2, pp.256-260, 2010.
    B.S. Reddy, B.N. Chatterji, "An FFT-based technique for translation, rotation, and scale-invariant image registration", IEEE Trans. Image Process., Vol.5, No.5, pp.1266-1271, 1996.
    S. Zokai, G. Wolberg, "Image registration using log-polar mappings for recovery of large-scale similarity and projective transformations", IEEE Trans. Image Proc., Vol.14, No.10, pp.1422-1434, 2005.
    R. Matungka, Y.F. Zheng, R.L. Ewing, "2D invariant object recognition using log-polar transform", Proc. of WCICA, Chongqing, China, pp.223-228, 2008.
    Rittavee Matungka, Yuan F. Zheng and Robert L. Ewing, "Image registration using adaptive polar transform", IEEE Trans. Image Proc., Vol.18, No.10, pp.2340-2354, 2009.
    H.S. Stone, B. Tao, M. McGuire, "Analysis of image registration noise due to rotationally dependent aliasing", J. Vis. Commun. Image Represent., Vol.14, No.2, pp.114-135, 2003.
    D.G. Lowe, "Distinctive image features from scale-invariant keypoints", Int. J. Comput Vis., Vol.60, No.2, pp.91-110, 2004.
    K. Mikolajczyk, C. Schmid, "Scale and affine invariant interest point detectors", Int. J. Comput. Vis., Vol.60, No.1, pp.63-86, 2004.
    K. Mikolajczyk, C. Schmid, "A performance evaluation of local descriptors", IEEE Trans. Pattern Analysis and Machine Intelligence, Vol.27, No.10, pp.1615-1630, 2005.
    Liu Di, Sun Dongmei, Qiu Zhengding, "A novel image enhancement method for SIFT feature extraction of low resolution palmprint images", Chinese Journal of Electronics, Vol.20, No.1, pp.111-113, 2001.
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