Application of computer vision technique for physical quality monitoring of turmeric slices during direct solar drying

2018 ◽  
Vol 13 (1) ◽  
pp. 545-558 ◽  
Author(s):  
Sonu Sharma ◽  
Kshanaprava Dhalsamant ◽  
P. P. Tripathy
Keyword(s):  
Computer Vision ◽  
Quality Monitoring ◽  
Solar Drying ◽  
Physical Quality ◽  
Vision Technique ◽  
Computer Vision Technique

A computer vision technique for automated assessment of surgical performance using surgeons’ console-feed videos

2018 ◽  
Vol 14 (4) ◽  
pp. 697-707 ◽  
Author(s):  
Amir Baghdadi ◽  
Ahmed A. Hussein ◽  
Youssef Ahmed ◽  
Lora A. Cavuoto ◽  
Khurshid A. Guru
Keyword(s):  
Computer Vision ◽  
Automated Assessment ◽  
Surgical Performance ◽  
Vision Technique ◽  
Computer Vision Technique

Application of computer vision technique for on-line monitoring of shrimp color changes during drying

2013 ◽  
Vol 115 (1) ◽  
pp. 99-114 ◽  
Author(s):  
Soleiman Hosseinpour ◽  
Shahin Rafiee ◽  
Seyed Saeid Mohtasebi ◽  
Mortaza Aghbashlo
Keyword(s):  
Computer Vision ◽  
Color Changes ◽  
On Line ◽  
Vision Technique ◽  
Computer Vision Technique

Aeroelastic Vibration Measurement Based on Laser and Computer Vision Technique

2020 ◽  
Author(s):  
H.V. de Figueiredo ◽  
D.F. Castillo-Zúñiga ◽  
N.C. Costa ◽  
O. Saotome ◽  
R.G.A. da Silva
Keyword(s):  
Computer Vision ◽  
Vibration Measurement ◽  
Vision Technique ◽  
Computer Vision Technique

scholarly journals Visual Recognition Of Graphical User Interface Components Using Deep Learning Technique

2020 ◽  
Vol 13 (1) ◽  
pp. 35
Author(s):  
Agyl Ardi Rahmadi ◽  
Aris Sudaryanto
Keyword(s):  
Computer Vision ◽  
Deep Learning ◽  
User Interface ◽  
Graphical User Interface ◽  
Visual Recognition ◽  
Usability Testing ◽  
Learning Technique ◽  
Different Types ◽  
Vision Technique ◽  
Computer Vision Technique

Graphical User Interface (GUI) building in software development is a process which ideally need to go through several steps. Those steps in the process start from idea or rough sketch of the GUI, then refined into visual design, implemented in coding or prototype, and finally evaluated for its function and usability to discover design problem and to get feedback from users. Those steps repeated until the GUI considered satisfactory or acceptable by the user. Computer vision technique has been researched and developed to make the process faster and easier; for example generating code for implementation, or automatic GUI testing using component images. But among those techniques, there are still few for usability testing purpose. This preliminary research attempted to make the foundation for usability testing using computer vision technique by built minimalist dataset which has images of various GUI components and used the dataset in deep learning experiment for GUI components visual recognition. The experiment results showed deep learning technique suitable for the intended task, with accuracy of 95% for recognition of two different types of components, and accuracy of 72% for six different types of component.

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