Journal
IEEJ TRANSACTIONS ON ELECTRICAL AND ELECTRONIC ENGINEERING
Volume 13, Issue 1, Pages 134-146Publisher
WILEY
DOI: 10.1002/tee.22507
Keywords
A-KAZE feature; nonlinear filter; image mosaic; seam line; multiresolution fusion
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Funding
- Chongqing Basic and Frontier Research Project [cstc2015jcyjBX0090, cstc2014jcyjA40033, cstc2015jcyjA40034]
- Outstanding Achievements Transformation Projects of University in Chongqing [KJZH14219]
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The traditional feature point detection algorithm is based on the linear scale decomposition. In the SIFT (Scale Invariant Feature Transform) algorithm, features are obtained through building the image pyramid by the Gaussian filter. SIFT has good robustness but has some flaws as well. Gaussian filter neither preserve object boundaries nor smooth the same level details and noise at all scales, which impair the accuracy and distinctiveness of the feature point positioning. Nonlinear scale decomposition can solve these problems. In this paper, a new image mosaic algorithm based on A-KAZE feature is proposed to take advantages of the A-KAZE algorithm in terms of rotation invariance, illumination invariance, speed, and stability. The optimal stitching line is obtained and the multi-resolution fusion algorithm is used to fuse the image in order to achieve a satisfactory seamless image of high resolution. The whole straightening method is applied in the image mosaic to solve the problem of the tilt of multiple image mosaic. Experimental results show that stitching algorithm in this paper is faster and more robust compared to the traditional SIFT algorithm. (c) 2017 Institute of Electrical Engineers of Japan. Published by John Wiley & Sons, Inc.
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