Accurate Localization of Fixed Orthodontic Treatment Based on Machine Vision

2021 ◽  
pp. 437-442
Author(s):  
Xiaoli Sha
Keyword(s):  
Machine Vision ◽  
Orthodontic Treatment ◽  
Accurate Localization

License Plate Localization Based on Machine Vision

2011 ◽  
Vol 339 ◽  
pp. 680-684
Author(s):  
Yin Hua Huang ◽  
Shi Qi Zhao
Keyword(s):  
Machine Vision ◽  
Signal To Noise Ratio ◽  
Difficult Problem ◽  
License Plate ◽  
Angular Deviation ◽  
License Plate Recognition ◽  
Low Contrast ◽  
Localization Method ◽  
Accurate Localization ◽  
Better Than

License plate holds the very small proportion in the whole vehicle image, and the color, size and location for License plate is also uncertain. Fast and accurate localization for license plate is a difficult problem in the license plate recognition process. This paper presents a geometry license plate localization method based on machine vision. This method has very good compatibility to the gradation linear and nonlinear change, moreover support criterion and angle change. Experimental results indicate that the localization deviation does not surpass 1.0pixel and the angular deviation does not surpass 1.0 degrees under same level test condition. Robustness of this localization is basic consistent with Cognex Visionpro. The license plate localization can adapt the low signal-to-noise ratio, the low contrast gradient, the fuzzy situations and so on., which is also simple, practical and is better than traditional zone location and edge localization method.

Immunocytochemical detection of hepatic carbohydrate metabolic enzymes: Improved resolution with polyethylene glycol embedding and visio-bond semithin sections

1992 ◽  
Vol 50 (1) ◽  
pp. 792-793
Author(s):  
Kuixiong Gao ◽  
Randal E. Morris ◽  
Bruce F. Giffin ◽  
Robert R. Cardell
Keyword(s):  
Polyethylene Glycol ◽  
Glycogen Phosphorylase ◽  
Phosphoenolpyruvate Carboxykinase ◽  
Glycogen Synthase ◽  
Metabolic Enzymes ◽  
Silver Stain ◽  
Accurate Localization ◽  
Immunocytochemical Detection ◽  
Semithin Sections ◽  
Parenchymal Cells

Several enzymes are involved in the regulation of anabolic and catabolic pathways of carbohydrate metabolism in liver parenchymal cells. The lobular distribution of glycogen synthase (GS), phosphoenolpyruvate carboxykinase (PEPCK) and glycogen phosphorylase (GP) was studied by immunocytochemistry using cryosections of normal fed and fasted rat liver. Since sections of tissue embedded in polyethylene glycol (PEG) show good morphological preservation and increased detectability for immunocytochemical localization of antigenic sites, and semithin sections of Visio-Bond (VB) embedded tissue provide higher resolution of cellular structure, we applied these techniques and immunogold-silver stain (IGSS) for a more accurate localization of hepatic carbohydrate metabolic enzymes.

Machine Vision

2009 ◽  
Author(s):  
Wesley E. Snyder ◽  
Hairong Qi
Keyword(s):  
Machine Vision

Classroom Lighting Energy-Saving Control System Based on Machine Vision Technology

2018 ◽  
pp. 143-149 ◽  
Author(s):  
Ruijie CHENG
Keyword(s):  
Control System ◽  
Machine Vision ◽  
Energy Saving ◽  
Back Propagation ◽  
Back Propagation Neural Network ◽  
Lighting Control ◽  
Lighting Energy ◽  
Neural Network Algorithm ◽  
Energy Saving Control ◽  
Model Algorithm

In order to further improve the energy efficiency of classroom lighting, a classroom lighting energy saving control system based on machine vision technology is proposed. Firstly, according to the characteristics of machine vision design technology, a quantum image storage model algorithm is proposed, and the Back Propagation neural network algorithm is used to analyze the technology, and a multi­feedback model for energy­saving control of classroom lighting is constructed. Finally, the algorithm and lighting model are simulated. The test results show that the design of this paper can achieve the optimization of the classroom lighting control system, different number of signals can comprehensively control the light and dark degree of the classroom lights, reduce the waste of resources of classroom lighting, and achieve the purpose of energy saving and emission reduction. Technology is worth further popularizing in practice.

Perbedaan Analisis Sefalometri Skeletal Sebelum dan Sesudah Perawatan Alat Myofunctional pada Pasien Maloklusi Dentoskeletal Kelas II Divisi I dalam Masa Pertumbuhan dengan Metode Steiner

2019 ◽  
Vol 4 (2) ◽  
Author(s):  
Nugroho Ahmad Riyadi
Keyword(s):  
Orthodontic Treatment ◽  
Class Ii ◽  
T Test ◽  
Analytic Study ◽  
Statistic Analysis ◽  
Twin Block ◽  
Normal Occlusion ◽  
Division 1 ◽  
Before And After ◽  
Class Ii Division 1

The aim of orthodontics treatment is normalization of teeth position in three planes, using various orthodontics appliance to reach the chepalometric standar and normal occlusion. Orthodontic treatment for dentoskeletal class II division 1 malocclusion in growing patients using myofunctional appliance may correct anteroposterior planes of mandibula. This study was a descriptive retrospective analytic study to look at the success of Orthodontic treatment for dentoskeletal class II division 1 in growing patients with myofunctional appliance using chepalometrics analysis Steiner value. The sample used in this study is chepalogram radiographic from patient with dentoskeletal class II division 1 malocclusion in growing patients before and after using myofunctional appliance in PPDGS orthodontics Clinic of Padjadjaran University. Statistic analysis were performed with pair t-test and Wilcoxon. Based on this study, it is concluded that orthodontic treatment with myofunctional appliance such as activator and twin block in growing patient with dentoskeletal class II division 1 malocclusion shows significant changes and compatibility with the normal criteria.

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