Design of Target Recognition Method Based on Corner Feature Extraction Algorithm
Konferenz: ICMLCA 2021 - 2nd International Conference on Machine Learning and Computer Application
17.12.2021 - 19.12.2021 in Shenyang, China
Tagungsband: ICMLCA 2021
Seiten: 5Sprache: EnglischTyp: PDF
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Autoren:
Gu, DanNi; Zhang, Le; Bai, MingJian (School of Equipment Engineering, Shenyang Ligong University, Shenyang, Liaoning, China)
Feng, Jian (School of Stomatology, North China University of Science and Technology, Tangshan, Hebei, China)
Inhalt:
Corner feature extraction is a very important method for target recognition. Firstly, this paper introduces the theoretical knowledge of two classical corner feature extraction algorithms. Secondly, the target image is preprocessed by grayscale processing and filtering processing to eliminate interference for corner extraction. Thirdly, Harris algorithm and Susan algorithm are used to extract the corner of the target image, and the results of the two algorithms are compared. The group of images with better effect is selected as the specific target. Finally, it matches a known target.