Research on Infrared Special Facula View Measurement Method Based on Image Processing Technology

Li, Hanshan; Lei, Zhiyong

doi:10.11591/telkomnika.v10i6.1396

Cited by 11 publications

(2 citation statements)

References 5 publications

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“…The change in physical properties that can be directly correlated with a change in the actual sugars (soluble solids) content of the fruit obtained from conventional direct method [2]. Recently, the indirect methods become more popular than the direct method due to rapid test, high sensitivity and user friendly features [3], [4].…”

Section: Introductionmentioning

confidence: 99%

Correlation between Reflection Coefficient, Dielectric Properties and Brix Level of Malaysian Oranges at Microwave Frequencies

Rosman¹,

Dimon²,

You³

2018

IJEECS

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This paper presents sweetness degree (°Brix) prediction of the Malaysian oranges using microwave technique. Experimental measurement using monopole sensor and reflectometer was done in order to correlate the relationship between measured reflection coefficient, <em>S</em><sub>11</sub> of the orange and its sweetness level. Up to fifty orange samples were freshly plucked from local grower’s farm and tested. The unique design of the monopole sensor’s holder is made of nylon. The experiment test bed was set up based on the standard dimension of monopole sensor available in the market. The operating frequency is focusing on 2.2 GHz as it shows significant sensitivity for determining Malaysian local oranges sweetness level.

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Section: Introductionmentioning

confidence: 99%

Correlation between Reflection Coefficient, Dielectric Properties and Brix Level of Malaysian Oranges at Microwave Frequencies

Rosman¹,

Dimon²,

You³

2018

IJEECS

View full text Add to dashboard Cite

show abstract

“…In this paper, a method based on image processing to detect the smoothness of the shampoo bottle cap is studied. Image processing system is to use the machine to replace the human eye to do measurement and judgment [8][9][10][11][12]. In the process of large scale industrial production, the use of artificial visual inspection of product quality is low and the accuracy is not high, using machine vision detection method can greatly improve the production efficiency and the degree of automation of production [13][14][15].…”

Section: Introductionmentioning

confidence: 99%