Review And Analysis Of Computer Vision Algorithms

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Bakhtiyar Saidovich Rakhimov, ., Feroza Bakhtiyarovna Rakhimova, ., Sabokhat Kabulovna Sobirova, ., Furkat Odilbekovich Kuryazov , ., & Dilnoza Boltabaevna Abdirimova, . (2021). Review And Analysis Of Computer Vision Algorithms. The American Journal of Applied Sciences, 3(5), 245–250. https://doi.org/10.37547/tajas/Volume03Issue05-39
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Abstract

Computer vision as a scientific discipline refers to the theories and technologies for creating artificial systems that receive information from an image. Despite the fact that this discipline is quite young, its results have penetrated almost all areas of life. Computer vision is closely related to other practical fields like image processing, the input of which is two-dimensional images obtained from a camera or artificially created. This form of image transformation is aimed at noise suppression, filtering, color correction and image analysis, which allows you to directly obtain specific information from the processed image. This information may include searching for objects, keypoints, segments, and annexes;

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