Research on Image Seam-Line Removing Based on Illumination Correction

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Abstract:

Nowadays, the hard correction is a familiar method for image seam-line removing. But the method needs accurate gray difference around the seam-line which is difficult to achieve occasionally. To overcome such drawbacks, a novel seam-line removing method was proposed in the paper. First, optimal texture matching blocks beside the seam-line are searched, and the average gray level of the two blocks can be obtained. Then, the average gray level of the two blocks is adjusted to estimate the gray level of the same target in different illumination environment. Finally, the illumination is corrected based on the average gray level to remove the seam-line. The theoretical analysis and experiment results show that the proposed method is more effectual then traditional methods.

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Periodical:

Advanced Materials Research (Volumes 756-759)

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3889-3893

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Online since:

September 2013

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© 2013 Trans Tech Publications Ltd. All Rights Reserved

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[1] Guan P., Yang D., Hu X.R. Research on Technology of Seamless Image Mosaic. Science & Technology Information. Vol. 9 (2010), pp.36-37.

Google Scholar

[2] Zhu S.L., Qian Z.B. The Seam-line Removal under Mosaicking of Remotely Sensed Images. Journal of Remote Sensing. Vol. 6 (2002), pp.183-187.

Google Scholar

[3] Hu R.X., Wang T., Bao Z., Liu B.C. A Novel Algorithm for stitching Doppler Beam Sharpening Images Based on INS Information. Journal of Electronics & Information Technology. Vol. 34 (2012), pp.1337-1343.

DOI: 10.3724/sp.j.1146.2011.01019

Google Scholar

[4] Li Y.S., Pei J.H., Xie W.X., Li L.Q. A New Fast Automatic Mosaic Method on Unmanned Aerial Vehicle Images. Acta Electronica Sinica. Vol. 40 (2012), pp.935-940.

Google Scholar

[5] Xiao B., Yang Y.Y., Gao X. etc. Mosaic algorithm for images of defects on surface of large fine optics. Journal of Zhejiang University (Engineering Scinece). Vol. 45 (2011), pp.375-381.

Google Scholar

[6] Zhou C.J., Xu L.H. Study on Seam-line under Mosaicking of Sensing Images. Journal of Southwest University (Natural Science Edition). Vol. 32 (2010), pp.136-140.

Google Scholar

[7] Wang S.Y., Zhuo L, Shen L.S., Li X.G. A Least Square Affine-Based Block-Match Image Registration Algorithm for Dynamic Video Spuer Resolution. Journal of Electronics & Information Technology. Vol. 3 (2009), pp.542-545.

Google Scholar