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Liu, Y., Tian, J.W., Hu, R.R., Yang, B., Liu, S., Yin, L.R. and Zheng, W.F. (2022) Improved Feature Point Pair Purification Algorithm Based on SIFT During Endoscope Image Stitching. Frontiers in Neurorobotics, 16, Article ID: 840594.
https://doi.org/10.3389/fnbot.2022.840594

has been cited by the following article:

• TITLE: Research on Stitching Algorithm Based on Tree Branch Image

  AUTHORS: Biao Huang, Shiping Zou

  KEYWORDS: Stitching Techniques, Image Fusion, Image Recognition, Branch Images

  JOURNAL NAME: World Journal of Engineering and Technology, Vol.11 No.2, May 26, 2023

  ABSTRACT: Branch identification technology is a key technology to achieve automated pruning of fruit tree branches, and one of its technical bottlenecks lies in the stitching of branch images. To this end, we propose a set of branch image stitching technology algorithms. The algorithm is based on the grey-scale prime centroid method to determine the detection feature points, and uses the coordinate transformation matrix H of the corresponding points of the image to carry out the image geometric transformation, and realises the feature matching through sample comparison and classification methods. The experimental results show that the matched point images are more correct and less time-consuming.