13 A machine vision technique-based tongue diagnosis system in Ayurveda

2021 ◽  
pp. 265-286
Author(s):  
Harshvardhan Tiwari ◽  
Shivani S. Pai ◽  
N. S. Sumanth ◽  
Arundhati S. Hegde
Keyword(s):  
Machine Vision ◽  
Diagnosis System ◽  
Tongue Diagnosis ◽  
Vision Technique

scholarly journals Erratum to: Nondestructive Estimation of Lean Meat Yield of South Korean Pig Carcasses Using Machine Vision Technique

2019 ◽  
Vol 39 (3) ◽  
pp. 520-520
Author(s):  
Santosh Lohumi ◽  
Collins Wakholi ◽  
Jong Ho Baek ◽  
Byeoung Do Kim ◽  
Se Joo Kang ◽  
...  
Keyword(s):  
Machine Vision ◽  
Meat Yield ◽  
Lean Meat ◽  
South Korean ◽  
Pig Carcasses ◽  
Vision Technique ◽  
Nondestructive Estimation

INSPECTION AND QUALITY CHECKING OF CERAMIC CUP USING MACHINE VISION TECHNIQUE: DESIGN AND ANALYSIS

2017 ◽  
Vol 79 (5-2) ◽  
Author(s):  
Nursabillilah Mohd Ali ◽  
Mohd Safirin Karis ◽  
Siti Azura Ahmad Tarusan ◽  
Gao-Jie Wong ◽  
Mohd Shahrieel Mohd Aras ◽  
...  
Keyword(s):  
Image Processing ◽  
Computer Vision ◽  
Machine Vision ◽  
Image Sensor ◽  
Histogram Method ◽  
Inspection Method ◽  
Inspection Process ◽  
Set Up ◽  
Vision Application ◽  
Vision Technique

The development of inspection and quality checking using machine vision technique are discussed where the design of the algorithm mainly to detect the sign of defect when a sample product is used for inspection purposes. There are several constraints that a machine need to be improved based on technology used in vision application. CMOS image sensor as well as programming language and open source computer vision library were used in designing the inspection method. Experimental set-up was conducted to test the proposed technique for evaluate the effectiveness process. The experimental results were obtained and represented in graphical and image processing form. Besides, analysis and discussion were made according to obtained results. The proposed technique is able to perform the inspection process using good and defect ceramic cup based on detection technique. Moreover, based on the analysis gathered, the proposed technique able to differentiate between good and defect ceramic cup. The result shows that there is a difference frequency by 236 which is 2% of total value in pixels frequency. The frequency indicated as pixel frequency of image using histogram method based on scaled value of image.

Study and Application of Machine Vision Technique for Quality Detection of Agricultural Products

2014 ◽  
Vol 1061-1062 ◽  
pp. 999-1002
Author(s):  
Xin Ping Mo ◽  
Zhi Guo Pan
Keyword(s):  
Machine Vision ◽  
Agricultural Products ◽  
Dried Fruits ◽  
Existing Problems ◽  
Quality Detection ◽  
Collaborative Innovation ◽  
Vision Technique

The study and application of machine vision technique for the detection of agricultural products, which includes the quality detection and grading of fruits, dried fruits, vegetables, are discussed. It summarizes the existing problems of detection and grading of agricultural products based on machine vision, and analyzes the methods of solving problems through establishing a national collaborative innovation center.

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