Yazar "Cayiroglu, Ibrahim" seçeneğine göre listele

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    Computer assisted glass mosaic tiling automation
    (Pergamon-Elsevier Science Ltd, 2012) Cayiroglu, Ibrahim; Demir, Batikan Erdem
    Artistic mosaic tiling applications have been used in all periods of time since the oldest ages. Nowadays the mosaics, mostly called glass mosaics, are manufactured in square forms and applied by the factories. Tiling of the mosaics on a grid base is done manually in factories to reflect a predetermined design. In this study a fully-automated system has been developed for tiling the mosaics without human intervention. All the phases, starting from a digital photo, through to the tiling of mosaics, up to the packaging of panels in the production, are performed without any manual intervention in a continuous flow. The developed system has a modular structure, so the number of modules may be increased according to the desired speed and the number of colors. A software package has been developed in order to process the image to be tiled, to convert the colors of the image to the colors of mosaics, to perform simulation before the actual production and to control the various stepper motors, relays and sensors on the machine during manufacturing. (C) 2012 Elsevier Ltd. All rights reserved.
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    A new method for machining feature extracting of objects using 2D technical drawings
    (Elsevier Sci Ltd, 2009) Cayiroglu, Ibrahim
    In this study, a new method called 3-Space has been developed to obtain 3D models of prismatic machine parts using 2D technical drawings. This method uses 3 surfaces named Base, Top and Sweep Base for the determination of the objects. The edge colors have been given to the surfaces with meanings, and are used for the determination of the type and characteristics of the objects. 4 characteristics of the processing objects (namely external access direction, exit status, boundary geometry and the processing order of the features) have been determined. First, the object is considered a prismatic raw material, and the features to be processed on it are removed. Then the remaining object itself is created and thus a 3D view of the object is obtained. (C) 2009 Elsevier Ltd. All rights reserved.
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    Performance of Interpolated Histogram of Oriented Gradients on the Feature Calculation of SIFT
    (Univ Suceava, Fac Electrical Eng, 2022) Ozturk, Ali; Cayiroglu, Ibrahim
    Scale Invariant Feature Transform (SIFT) is the most dominant and robust object detection algorithm. It utilizes the Histogram of Oriented Gradients (HOG) method for feature computation. HOG is applied with trilinear interpolation to gain performance improvement. This paper examines the effect of interpolation on the performance of SIFT on both OXFORD and HPatches datasets. The various algorithms of interpolation for HOG, and the spatial binning process algorithm, are presented here. The performance is evaluated with Intersection Over Union, Correct Match Percentage, as well as the execution time of the algorithms. Moreover, we used the multiplication of the Intersection Over Union and Correct Match Percentage to take advantage of both metrics. It was observed that the interpolation did not significantly affect the performance of the SIFT.
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    A Real-Time Application of Singular Spectrum Analysis to Object Tracking with SIFT
    (Eos Assoc, 2022) Ozturk, Ali; Cayiroglu, Ibrahim
    This study combined SIFT and SSA to propose a novel algorithm for real-time object tracking. The proposed algorithm utilizes an intermediate fixed-size buffer and a modified SSA algorithm. Since the complete reconstruction step of the SSA algorithm was unnecessary, it was considerably simplified. In addition, the execution time of a Matlab implementation of the SSA algorithm was compared with a respective C++ implementation. Moreover, the performance of the two different matching algorithms in the detection, the FlannBasedMatcher and Brute-Force matcher algorithms of the OpenCV library, was compared.