Image Segmentation Based on Facet Model Fitting

Li, Wen Guo; Duan, Shao Jun; Yin, Zhi Hong

doi:10.4028/scientific5/amr.459.35

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2018

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“…Defects on wood surface such as bruises, knot holes, and wormholes can be measured using roughness [7] using traditional algorithms, but pattern matching cannot be achieved. Image segmentation algorithm [8] to measure the quality of fit of estimated flow can be implemented that is computationally expensive and is sensitive to various noise.…”

Section: Introductionmentioning

confidence: 99%

Printing Defect Identification in Pharmaceutical Blisters Using Image Processing

Karthik

Vijayarekha

2018

Asian J Pharm Clin Res

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Objective: Our aim is to detect printing defects in pharmaceutical tablets from the manufacturing line using image processing techniques.Methods: The printed labels contain the details of the chemical composition, date of manufacture, date of expiry, manufacturing location, etc., images of the labels are obtained and processed using image processing algorithms to detect any defects on the labels before dispatch.Results: The printing defects on the labels such as missing letters, words, lines, and disorientation of alignments.Conclusion: Euclidean distance method was used for comparison that yielded 95% accuracy in removing tablets with printing defects.

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Section: Introductionmentioning

confidence: 99%