Abstract: In this paper, we will develop a new generation of paper display Data Storage to become 24 times more than actual capacity in 2D display such QR code. By compressing and decompressing 24 layers of 2D display into a single display without any loss of stored data. We based on RGB array by benefited of specified layers between back (0, 0, 0) and white (255, 255, 255) color.

• Publication Date: 15-Sep-2019
• DOI: 10.15224/978-1-63248-176-4-04
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Abstract: This article presents an inspection system to detect red kernel defect, normally contaminating in white rice product. This contamination causes a reduction in the price rice of 6% approximately. To detect Red defect successfully, a method proposed in this paper was build up on Machine Vision techniques. The method contains three processing steps as follows. Firstly, noise elimination and localization were executed through image processing techniques. After that, RGB image would be transformed to HSV in order to obtain discriminative features. Finally, the pre-processed data was then passed into model training by using both linear and non-linear Support Vector Machines. Apart from that, Logistic regression was then employed to challenge margin maximization ability of the SVMs. The experimental result shows that linear-SVM still yields the highest performance at 86.3% of classification accuracy.

• Publication Date: 15-Sep-2019
• DOI: 10.15224/978-1-63248-176-4-05
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• Downloads: 0