Novel algorithm for image mosaic using linear texture match
Fang Chen, Yifang Zhou, Zhao Binwen, Pan Song, Shi Jinfei · 2011
To realize the real-time mosaic of image sequences in large scale mechanical parts with linear texture, this paper proposes a novel algorithm of image mosaic based on linear texture matching (LTM). The traditional algorithm of image mosaic consumes so much time that it can not be used on production lines. The proposed algorithm not only greatly reduces computing time but also enhances anti-disturbance force. The performance of the proposed technique is evaluated by processing some practical image sequences. To address problems that are caused by the relative rotation between two sequential partial images, the image sequences is adjusted to keep the linear texture consistent with the abscissas axis of gray values. Then the new algorithm focuses on the translation according to the characteristics of gray values of the image sequences. The result demonstrates that the proposed algorithm greatly enhances the efficiency of image match, which can satisfy the requirement of online image mosaic.