Application of image processing

Machine learning and computer vision play pivotal roles in detecting product defects across various industries, enhancing effectiveness, precision, and minimizing labor expenditures. This journalutilizes image manipulation through the OpenCV, coupled with machine learning employing the ResNet-50 model, to specifically identify surface defects and dimensions in bearings.

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Digital Image Processing: Human Visual System - Duong Anh Duc presents about Human Visual System; Cross-section of the Human Eye; Light and EM Spectrum; Image Sensing and Acquisition; Mathematical Representation of Images; Effect of spatial resolution; Application Areas.

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In this study, we tested more than 170 surveys of nine different types. The software tool correctly detected all the valid answers. It was also able to detect all questions with no or multiple marks.

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In this thesis, the author focussed on providing an application framework to be used in brain segmentation - the process of tumor detection. This constitutes setting up software bundled into a Window machine which is easily distributable. Moreover, a segmentation algorithm was implemented and tested using the provided software. In order to test the bundled software by implementing specific brain segmentation from the literature, the author used CT scans freely available from the database of 108 Central Military Hospital.

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The goad of the thesis is to build the manufacture process of nano-sized magnetic fluids based on iron oxide (uniform particle size and high magnetic saturation) with stable technology; Characteristic research of magnetic properties of magnetic nanoparticles; assessment of toxicity and test of effects on cells, aiming to make contrast medicine in imaging diagnosis by magnetic resonance imaging (MRI), application on accurately identifying cancer.

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Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Managing Algorithmic Skeleton Nesting Requirements in Realistic Image Processing Applications: The Case of the SKiPPER-II Parallel Programming Environment’s Operating Model

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EURASIP Journal on Applied Signal Processing 2003:9, 914–921 c 2003 Hindawi Publishing Corporation The PLSI Method of Stabilizing Two-Dimensional Nonsymmetric Half-Plane Recursive Digital Filters N. Gangatharan Faculty of Engineering, Multimedia University, Jalan Multimedia, 63100 Cyberjaya, Selangor, Malaysia Email: n.gangatharan@mmu.edu.my P. S. Reddy Faculty of Engineering, Multimedia University, Jalan Multimedia, 63100 Cyberjaya, Selangor, Malaysia Email: subbarami.reddy@mmu.edu.

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Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Research Article System-Platforms-Based SystemC TLM Design of Image Processing Chains for Embedded Applications

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PIKS IMAGE PROCESSING PROGRAMMING EXERCISES Digital image processing is best learned by writing and executing software programs that implement image processing algorithms. Toward this end, the compact disk affixed to the back cover of this book provides executable versions of the PIKS Core Application Program Interface C programming language library, which can be used to implement exercises described in this chapter. The compact disk contains the following items: A Solaris operating system executable version of the PIKS Core API.

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IMAGE QUANTIZATION Any analog quantity that is to be processed by a digital computer or digital system must be converted to an integer number proportional to its amplitude. The conversion process between analog samples and discrete-valued samples is called quantization. The following section includes an analytic treatment of the quantization process, which is applicable not only for images but for a wide class of signals encountered in image processing systems.

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