Abstract
As an extension of the classic rigid registration algorithm-Iterative Closest Point (ICP) algorithm, this paper proposes a new non-rigid ICP algorithm to match two point sets. Each point in the data set is supposed to match to the model set via an affine transformation. The proposed registration model is built up with a regularization term based on their average affine transformation. For each iteration of our algorithm, firstly correspondences between two point sets are built by the nearest-point search. Then the non-rigid transform parameters between two correspondence point sets are estimated by the proposed method in the closed form. Finally the average affine transformation is updated. A set of challenging data including single and overlapping chromosome images are tested which have significant local non-rigid transformations. Experimental results demonstrate our algorithm has higher accuracy and faster rate of convergence than other algorithms.
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Acknowledgement
This work was in part supported by the National Natural Science Foundation of China (61573274), Postdoctoral Science Foundation of China (2015M582661), Jiangsu Science and Technology Program (BY2014073), and Natural Science Basic Research Plan in Shaanxi Province of China (2015JQ6232).
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Kou, Q., Yang, Y., Du, S., Luo, S., Cai, D. (2016). A Modified Non-rigid ICP Algorithm for Registration of Chromosome Images. In: Huang, DS., Jo, KH. (eds) Intelligent Computing Theories and Application. ICIC 2016. Lecture Notes in Computer Science(), vol 9772. Springer, Cham. https://doi.org/10.1007/978-3-319-42294-7_45
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DOI: https://doi.org/10.1007/978-3-319-42294-7_45
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