THE ROLE OF IMAGE PROCESSING IN COMPUTER VISION TECHNOLOGIES
Аннотация
Image processing and computer vision are closely related fields in digital imaging. Image processing refers to the manipulation of raw image data to improve or prepare it for viewing and analysis. It involves altering or enhancing images (for example, adjusting contrast or removing noise) so that they are more interpretable by humans. In contrast, computer vision focuses on enabling machines to interpret and understand visual content. Computer vision systems automatically extract semantic information from images without human intervention. In one definition, “computer imaging” encompasses both fields as “the acquisition and processing of visual information by computer”.
Библиографические ссылки
A.Kakhkhorov, “Modern Methods of Image Processing and Comparative Analysis of These Methods”. Science and Education, 6 (6), 35-39, 2025
D. G. Lowe, “Distinctive Image Features from Scale-Invariant Keypoints.” International Journal of Computer Vision, 60(2):91–110, 2004
A. Krizhevsky, I. Sutskever, and G. E. Hinton, “ImageNet Classification with Deep Convolutional Neural Networks.” Advances in Neural Information Processing Systems, 25:1097–1105, 2012
I. J. Goodfellow et al., “Generative Adversarial Networks.” arXiv preprint arXiv:1406.2661, 2014
J. Redmon et al., “You Only Look Once: Unified, Real-Time Object Detection.” Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016
O. Ronneberger, P. Fischer, and T. Brox, “U-Net: Convolutional Networks for Biomedical Image Segmentation.” International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2015
J. Zhang et al., “A Comprehensive Review of Image Analysis Methods for Microorganism Counting: From Classical Image Processing to Deep Learning Approaches.” Artificial Intelligence Review, vol. 55, pp. 2875–2944, 2022
Y. J. Sandvik et al., “A Comparative Literature Review of Machine Learning and Image Processing Techniques Used for Scaling and Grading of Wood Logs.” Forests, 15(7):1243, 2024
R. C. Gonzalez and R. E. Woods, Digital Image Processing, 4th ed., Pearson, 2018.
R. Szeliski, Computer Vision: Algorithms and Applications, Springer, 2010.
