Person: YILDIZ, KAZIM
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YILDIZ
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KAZIM
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Publication Open Access Classification of Textures Using Filter Based Local Feature Extraction(E D P SCIENCES, 2016) YILDIZ, KAZIM; Bocekci, Veysel Gokhan; Yildiz, Kazim; Sikora, A; Choi, B; Wang, SIn this work local features are used in feature extraction process in image processing for textures. The local binary pattern feature extraction method from textures are introduced. Filtering is also used during the feature extraction process for getting discriminative features. To show the effectiveness of the algorithm before the extraction process, three different noise are added to both train and test images. Wiener filter and median filter are used to remove the noise from images. We evaluate the performance of the method with Naive Bayesian classifier. We conduct the comparative analysis on benchmark dataset with different filtering and size. Our experiments demonstrate that feature extraction process combine with filtering give promising results on noisy images.Publication Metadata only Hand-Held Spectrophotometer Design for Textile Fabrics(AMER INST PHYSICS, 2017) YILDIZ, KAZIM; Bocekci, Veysel Gokhan; Yildiz, Kazim; Perova, TIn this study, a hand-held spectrophotometer was designed by taking advantage of the developments in modern optoelectronic technology. Spectrophotometer devices are used to determine the color information from the optic properties of the materials. As an alternative to a desktop spectrophotometer device we have implemented, it is the first prototype, low cost and portable. The prototype model designed for the textile industry can detect the color tone of any fabric. The prototype model consists of optic sensor, processor, display floors. According to the color applied on the optic sensor, it produces special frequency information on its output at that color value. In Arduino type processor, the frequency information is evaluated by the program we have written and the color tone information between 0-255 ton is decided and displayed on the screen.