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The amber gemstones classification system is proposed and described in this paper. The amber data used in experiments are collected by amber art craft industry experts and divided manually into 30 classes. The presented investigations were care out in order to find out most accurate and fast classifier for online amber sorting application. QDA, KNN, RBF, and decision tree classifiers were tested....
All manufacturing companies have been trying to integrate intelligence-oriented strategies into their workflow. This saves time and money and leads to a better quality of goods. This intelligent strategy is in the subject area of Artificial Intelligence (AI). In our contribution a “Knowledge-Based System” (KBS) for image processing and pattern recognition, machine learning (ML) is used to measure...
It is the most important in flue-cured tobacco leaves grading to recognize the parts of tobacco plants where the flue-cured tobacco leaves grown. In this paper, the image processing and analysis are applied in extracting the feature parameters of the tobacco leaves quality, the fuzzy statistics and comprehensive judgment techniques are applied to judge the group membership of tobacco leaf samples...
An algorithm for fast shot boundary detection based on SVM (Support Vector Machine) is proposed. In this algorithm, smooth intervals inside shots are first eliminated from the original video frame sequence. During this process, a gray variance sequence is extracted and serves as the basis for the detection of smooth intervals. Then a new frame sequence named RFS (Reordered Frame Sequence) is formed...
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