Target recognition and detection system based on sensor and nonlinear machine vision fusion
نویسندگان
چکیده
Abstract In order to realize the automatic detection system of electric sensor, a method based on sensor and nonlinear machine vision is proposed. Aiming at complex scenes dynamic changes in target recognition large-scale industrial field, fusion The introduces features uses deep neural network multi-scale analysis image data basis traditional vision. C++ language development has good user interface. photoelectric weld collected by technology, area detected Gaussian model, feature points are extracted combining Hessian matrix, input into quantum gate results obtained. simulation show that author’s highest value among three test indicators, with accuracy rate 97%, recall 98%, F 1 94. time consumed for identification welding within 6 s, spent film wall 20 extraction 22 s. It been proven sensors can achieve an electrical welds. object proposed this article be applied various backgrounds application prospect. some limitations, such as algorithm calculation accuracy, real-time, other aspects have room improvement.
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ژورنال
عنوان ژورنال: Nonlinear Engineering
سال: 2023
ISSN: ['2192-8010', '2192-8029']
DOI: https://doi.org/10.1515/nleng-2022-0310