Abstract
An effective nonrigid image registration method is developed based on the optical flow field (OFF) framework for the complex registration of structure images. In our method, a new force is modeled and integrated into the original optical flow equation to jointly drive the motion direction of pixels. At any point in the offset field, in addition to the force generated by the OFF model derived from local gradient information to drive the pixels in the floating image to infiltrate into the reference pixel set, a new “guiding force” derived from the global grayscale overall trend in a given neighborhood system helps the pixels to more properly spread into the corresponding reference pixel set, particularly when the gradient field of the reference image is unstable. In the experiment, a data set containing several images with complex structures was employed to validate the performance of our registration model. The test results show that our method can quickly and efficiently register complex images and is robust to noise in images.
This work is supported in part by the National Key Research and Development Program of China under Grant no. 2020YFB1806403.
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Liu, Z., Xu, L., Jiang, S. (2022). A Complex Background Image Registration Method Based on the Optical Flow Field Algorithm. In: Wang, Y., Zhu, G., Han, Q., Wang, H., Song, X., Lu, Z. (eds) Data Science. ICPCSEE 2022. Communications in Computer and Information Science, vol 1628. Springer, Singapore. https://doi.org/10.1007/978-981-19-5194-7_18
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