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http://dx.doi.org/10.9728/dcs.2017.18.1.159

Performance evaluation of Edge-based Method for classification of Gelatin Capsules  

Kwon, Ki-Hyeon (Department of Information & Communication Engineering, Kangwon National University)
Choi, In-Soo (Department of Hotel Culinary Arts, Tongwon University)
Publication Information
Journal of Digital Contents Society / v.18, no.1, 2017 , pp. 159-165 More about this Journal
Abstract
In order to solve problems in automatic quality inspection of tablet capsules, computation-efficient image processing technique, appropriate threshold setting, edge detection and segmentation methods are required. And since existing automatic system for quality inspection of tablet capsules is of very high cost, it needs to be reduced through the realization of low-price hardware system. This study suggests a technique that uses low-cost camera module to obtain image and inspects dents on tablet capsules and sorting them by applying TLS curve fitting technique and edge-based image segmentation. In order to assess the performance, the major classifications algorithm of PCA, ICA and SVM are used to evaluate training time, test time and accuracy for capsule image area and curve fitting edge data sets.
Keywords
Capsule Edge; Curve Fitting; Total Least Square; ICA; PCA; SVM;
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