Ditemukan 2 dokumen yang sesuai dengan query
Sar Sardy
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In this research it is applied a pattern recognition system by using an artificial neural networks to recognize several samples on weaving products, such as plain weave, twill weave, and sateen weave. In order to extract textural characteristics or features from sample images, it is used the Neighboring Grey Level Dependence Matrix (NGLDM)-method as proposed by Sun, which is invariant under rotation and linear grey level transformation. Five textural features i.e. Small Number Emphasis, Large ...
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Depok: Fakultas Teknik Universitas Indonesia, 1993
LP-pdf
UI - Laporan Penelitian Universitas Indonesia Library
Sar Sardy
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In this research, it is designed a simple inspection model for defect detection on woven fabrics at the weaving stage of processing, based on texture analysis. Textural features that extracted by using the NGLDM (Neighboring Greylevel Dependence Matrices) from the several avail-able samples either for normal or defective weaving products, are intelligently recognized by a neural network computational system. The model is useful in textile industry, which provide woven qualities produced by weaving machines, therefore, ...
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Depok: Fakultas Teknik Universitas Indonesia, 1994
LP-pdf
UI - Laporan Penelitian Universitas Indonesia Library
