Image processing is an increasingly widespread field in computer science. On the other hand, it is increasingly used both in modern business and in social communication. We will look at image manipulation methods, emphasizing approaches for comparing them. We will offer ways to process images included in popular specialized applications. We emphasize the use of the popular Python programming language, which is becoming more and more popular due to its ease of use and large range of tools. We will look at some of the image processing and analysis libraries used in Python.
Chen, J., Jiang, T., Yu, D., & Hu, H. (2023). Pattern-based circular reference detection in Python
. Science of Computer Programming. 227, 102932.
Dey, S. (2018). Hands-On Image Processing with Python : Expert techniques for advanced image analysis and effective interpretation of image data. Packt Publishing Ltd., 178934185X, 9781789341850.
Gholizadeh, S. (2022). Top Popular Python Libraries in Research. Journal of Robotics and Automation Research. 3(2).
Kinser, J. M. (2018). Image Operators: Image Processing in Python , CRC Press, 0429835949, 9780429835940.
Meyer, C., Dellby, N., Hachtel, J. A., Lovejoy, T., Mittelberger, A., Krivanek, O. (2019). Nion Swift: Open Source Image Processing Software for Instrument Control, Data Acquisition, Organization, Visualization, and Analysis Using Python . Microscopy and Microanalysis. 25(S2), 122–123.
Pajankar, A. (2019). Python 3 Image Processing: Learn Image Processing with Python 3, NumPy, Matplotlib, and Scikit-image, BPB Publications, 9388511727, 9789388511728.
Singh, V. K., Soni, S. K., Yadav, N. D., & Chandra, P. (2023). A system for cartoonifying an image using Python . A Jurnal of Physical Sciences, Engeneering and Tegnology, volume 14, 84-100.