Applications of FAST Corner Detection in Kiwifruit Detection
Main Article Content
Abstract
The traditional kiwifruit quality evaluation method mainly relies on artificial visual inspection, which has strong subjectivity, long detection time, low efficiency and wrong judgment. In order to solve the problem of low efficiency and poor accuracy of feature detection, this paper proposes a fast feature extraction method for kiwifruit fruit based on FAST feature point detection algorithm. Firstly, the kiwifruit image was grayscale processed, the original image was grayscale processed, the gray map was denoised by the median filter, and then the kiwifruit fruit in different backgrounds was detected by the control variable method, and the points of feature detection were visualized, and it was concluded that the kiwifruit features in different backgrounds could be quickly extracted by using this method.
Article Details
![Creative Commons License](http://i.creativecommons.org/l/by-nc-nd/4.0/88x31.png)
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
References
NIU Junli. Review of corner detection [J]. Science & Technology Wind, 2011, (20): 100-1.
LIU Yuxia. Research on the improvement of FAST algorithm and its application in image visual complexity calculation[D]; Henan University, 2018.
ROSTEN E, DRUMMOND T. Fusing points and lines for high performance tracking [Z]. Computer Vision, 2005 ICCV 2005 Tenth IEEE International Conference on vol2. 2005: 1508-15
Chen Junling, Zhao Bangzhou, Yang Rongchang. Study on coupled vibration of wind turbine tower based on FAST [J]. Journal of Solar Energy, 2023, 44(10): 353-61.
ZHAO Fuqun. Image Denoising Algorithm Based on Improved Median Filtering [J]. Computer and Digital Engineering, 2023, 51(2): 292-5,444.
LI Xiaolin, WANG Fugang, ZHANG Pengfei, et al. YOLOv5s Algorithm Optimization Based on Multi-scale Feature Extraction [J]. Computer Engineering and Science, 2023, 45(6): 1054-62.
Wu Xueli, Ding Xue, Meng Fanhua, et al. Double-threshold Harris Corner Detection Algorithm [J]. Journal of Hebei University of Science and Technology, 2013, 34(4): 330-3.
Wen Yangtian, Li Zheng, Wu Zhongguang. Image Registration Based on SUSAN Algorithm [J]. Journal of Computer Applications, 2006, 26(10): 2380-2.
ZHANG Yubing, LUO Qingshan, ZENG Guihua. Real-time tracking of part-based objects [J]. Computer Engineering and Applications, 2008, 44(7): 69-71,7.
Fu Yongqing, Song Baosen, Wu Jianfang. SIFT Algorithm for Edge Classification [J]. Journal of Harbin Engineering University, 2010, 31(5): 632-6.