Rotated Image Matching and Correction Method Based on Improved Circular Projection

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The key of rotated image matching is to determine the rotation invariant features. Accordingly, the circular projection algorithm is proposed. This paper presents an improved algorithm based on circular projection. Through improving the projection algorithm of radius and increasing the projection algorithm of rotation angle, this algorithm has the ability to match and rotation correction. Meanwhile, the algorithm for arbitrary rotation angle is effective, it is robust to the rotation and the noise, and it has high efficiency.

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1484-1488

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September 2013

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© 2013 Trans Tech Publications Ltd. All Rights Reserved

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[1] Choi M S, Kim W Y. A novel two stage template matching method for rotation and illumination invariance[J]. Pattern Recognitionk, 2002, 35(1): 119-129.

DOI: 10.1016/s0031-3203(01)00025-5

Google Scholar

[2] Hu Zhengyi, Su xiangfang. Rotation Invariance of ZERNIKE Moment and Estimation of Rotation Angles[J]. Journal WuHan University(Natural Sceince Edition), 1994, 4: 55-59.

Google Scholar

[3] Hu Haitao, Ping Ziliang, Wu Bin. Quick Algorithm of Image Moments with Rotational Invariance [J]. Acta Optica Sinica, 2010, 30(2): 394-398.

DOI: 10.3788/aos20103002.0394

Google Scholar

[4] Wu Dingxue, Gong Junbin. New Algorithm of Image Rotation Matching Based on Feature Points[J]. Computer Science, 2009, 36(12): 248-250.

Google Scholar

[5] Sun Bo-jiao, Zhou Donghua. Rotated image matching using circular template and HNCC method. Infrared and Laser Engineering, 2008, 37(2): 296-299.

Google Scholar

[6] Yu Hui, Zhang Zhongqiu, He Zhoucan. Ring projection transformation algorithm for arbitrary rotation matching. Computer Engineering and Applications, 2011, 47(5): 172-174.

Google Scholar

[7] WANG Heng, LIU Ran, XIE Xingzhe. Study on new image angle matching method and its application. Computer Engineering and Applications, 2011, 47(4): 208-211.

Google Scholar

[8] Liang Zhizhen, Shi Pengfei, Zhou Xutong. Extraction and Recognition of Characters in Images from Industrial Containers. Computer Engineering, 2005, 45(4): 191-195.

Google Scholar