A Comparative Review of Image Processing Tools after implementing the Image Pre-Processing algorithm on MATLAB and PYTHON

Author(s)	Ms. Chaitali A. Darode, Dr. Abhay R. Kasetwar
Country	India
Abstract	This paper presents an extensive comparative evaluation of leading image processing platforms, focusing onthe pre-processing tasks that are initial steps in computer vision and pattern recognition chains. The researchsystematically compares all the tools – MATLAB, Python, Java and C++ – focusing on each one's architectureparadigms and algorithmic performance. By using an identical image pre-processing algorithm in MATLAB andPython, this study compares their relative strengths in quantitative and qualitative measurements of computationalefficiency, syntactic expressiveness, scalability to application domains and user-level abstraction. The empiricalanalysis highlights Python's advantage, owed largely to its rich open-source platform and the maturity of libraries likeOpenCV, scikit-image and Pillow for image processing. In addition, Python has a significant edge in terms of theefficiency of execution, extensibility in modules and native interoperability with modern artificial intelligence platforms such as TensorFlow and PyTorch. These features make Python an extremely scalable and responsiveplatform for current image processing, especially AI-based applications.
Keywords	Image pre-processing, MATLAB, Python, Java and C++
Published In	Volume 7, Issue 3, May-June 2026
Published On	2026-05-22
DOI	https://doi.org/10.63363/aijfr.2026.v07i03.5784

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