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CHARACTER DETECTION AND RECOGNITION SYSTEM OF BEER BOTTLES 被引量:1
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作者 Shen Bangxing Wu Wenjun +2 位作者 Zhang Yepeng Shen Gang Yang Liangen 《Chinese Journal of Mechanical Engineering》 SCIE EI CAS CSCD 2005年第3期467-469,共3页
An optical imaging system and a configuration characteristic algorithm are presented to reduce the difficulties in extracting intact characters image with weak contrast, in recognizing characters on fast moving beer b... An optical imaging system and a configuration characteristic algorithm are presented to reduce the difficulties in extracting intact characters image with weak contrast, in recognizing characters on fast moving beer bottles. The system consists of a hardware subsystem, including a rotating device, CCD, 16 mm focus lens, a frame grabber card, a penetrating lighting and a computer, and a software subsystem. The software subsystem performs pretreatment, character segmentation and character recognition. In the pretreatment, the original image is filtered with preset threshold to remove isolated spots. Then the horizontal projection and the vertical projection are used respectively to retrieve the character segmentation. Subsequently, the configuration characteristic algorithm is applied to recognize the characters. The experimental results demonstrate that this system can recognize the characters on beer bottles accurately and effectively; the algorithm is proven fast, stable and robust, making it suitable in the industrial environment. 展开更多
关键词 Optical imaging system Raised character recognition configuration characteristic algorithm
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A self-adaptive first-principles approach for magnetic excited states 被引量:1
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作者 Zefeng Cai Ke Wang +2 位作者 Yong Xu Su-HuaiWei Ben Xu 《Quantum Frontiers》 2023年第1期161-169,共9页
The profound impact of excited magnetic states on the intricate interplay between electron and lattice behaviors in magnetic materials is a topic of great interest.Unfortunately,despite the significant strides that ha... The profound impact of excited magnetic states on the intricate interplay between electron and lattice behaviors in magnetic materials is a topic of great interest.Unfortunately,despite the significant strides that have been made in first-principles methods,accurately tracking these phenomena remains a challenging and elusive task.The crux of the challenge that lies before us is centered on the intricate task of characterizing the magnetic configuration of an excited state,utilizing a first-principle approach that is firmly rooted in the ground state of the system.We propose a versatile self-adaptive spin-constrained density functional theory formalism.By iteratively optimizing the constraining field alongside the electron wave function during energy minimization,we are able to obtain an accurate potential energy surface that captures the longitudinal and transverse variations of magnetization in itinerant ferromagnetic Fe.Moreover,this technique allows us to identify the subtle coupling between magnetic moments and other degrees of freedom by tracking energy variation,providing new insights into the intricate interplay between magnetic interactions,electronic band structure,and phonon dispersion curves in single-layered CrI_(3).This new methodology represents a significant breakthrough in our ability to probe the complex and multifaceted properties of magnetic systems. 展开更多
关键词 first principles method magnetic materials magnetic excited states excited magnetic states tracking phenomena lattice behaviors characterizing magnetic configuration self adaptive approach
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