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Fruit Tree Image Registration Based on Improved FAST Algorithm

Juan Feng 1 Lihua Zeng 2 Jianping Li 2
1 College of Information Science and Technology [Baoding]
2 College of Mechanical and Electrical Engineering [Baoding]
Abstract : In order to promote the efficiency and accuracy of image registration, this paper proposes an improved registration algorithm for fruit tree images acquired by a dual-sensor vision system. In the algorithm, feature points are extracted by FAST detectors from Gaussian scale space, and main orientation is determined and SURF descriptor is created with statistical method of neighbor intensity distribution, matching pairs are determined with a relative ratio method and a iterative purifying method in succession. Experimental results show that the proposed algorithm outperforms previous algorithms comprehensively.
Keywords : Fruit tree Fast corner detection Gaussian scale space Image registration
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Submitted on : Friday, July 12, 2019 - 2:12:47 PM
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Distributed under a Creative Commons Attribution 4.0 International License

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IFIP | IFIP-AICT | IFIP-AICT-509 | IFIP-CCTA | IFIP-TC5 | IFIP-TC | IFIP-WG5-14

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Juan Feng, Lihua Zeng, Jianping Li. Fruit Tree Image Registration Based on Improved FAST Algorithm. 10th International Conference on Computer and Computing Technologies in Agriculture (CCTA), Oct 2016, Dongying, China. pp.212-217, ⟨10.1007/978-3-030-06155-5_21⟩. ⟨hal-02180000⟩

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