Title: An intelligent detection method of local feature points in computer vision image

Authors: Yongliang Feng

Addresses: School of Information Engineering, Xi'an University, Xi'an 710065, China

Abstract: In order to solve the problems of traditional image feature point detection methods, such as low efficiency and low detection effect of image feature points, this paper proposes an intelligent detection method of local feature points in computer vision image. The Hessian matrix is used to obtain the localised feature points of computer vision image, and the image scrambling method is used to obtain the localised corner points of computer vision image. The scale space of computer vision image is constructed to realise the feature extraction of image localisation points, determine the direction of image localisation feature points, and realise the intelligent detection of computer vision image localisation feature points according to the requirements of computer vision. The results show that this method can improve the detection effect of image feature points and shorten the intelligent detection time of local feature points.

Keywords: computer vision; Hessian matrix; scale space; localised feature points.

DOI: 10.1504/IJICT.2023.134252

International Journal of Information and Communication Technology, 2023 Vol.23 No.3, pp.266 - 277

Received: 27 Jul 2021
Accepted: 31 Aug 2021
Published online: 15 Oct 2023 *

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