Practical Applications of Homogeneous Coordinates in Image Transformations Using MATLAB

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Publicado no:Turkish Journal of Computer and Mathematics Education vol. 16, no. 1 (2025), p. 63
Autor principal: Nazar, Nazar Mohammad
Outros Autores: Samandari, Noormal, Waqar, Ikramullah
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Ninety Nine Publication
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022 |a 1309-4653 
024 7 |a 10.61841/turcomat.v16i1.15087  |2 doi 
035 |a 3219370447 
045 2 |b d20250101  |b d20250430 
100 1 |a Nazar, Nazar Mohammad  |u Department of Mathematics, Faculty of Science, Nangarhar University, Nangarhar, Afghanistan 
245 1 |a Practical Applications of Homogeneous Coordinates in Image Transformations Using MATLAB 
260 |b Ninety Nine Publication  |c 2025 
513 |a Journal Article 
520 3 |a Homogeneous coordinates offer a robust mathematical framework for representing and executing geometric transformations in image processing, computer vision, robotics, and computer graphics. By embedding Euclidean space into a higher-dimensional projective space, they provide a unified mechanism for handling affine transformations, such as translation, rotation, scaling, and shear, as well as projective transformations like perspective projection. This study explores the practical applications of homogeneous coordinates within the MATLAB environment, leveraging its matrix manipulation capabilities to implement these transformations efficiently. Homogeneous coordinates simplify complex transformation pipelines through matrix concatenation, enabling seamless execution of combined operations while preserving computational efficiency and accuracy. Key applications demonstrated include image registration, warping, rectification, 3D modeling, and camera calibration, emphasizing their critical role in medical imaging, virtual reality, and augmented reality. MATLAB's intuitive programming environment and advanced visualization tools further enhance the accessibility and applicability of these techniques. This article provides detailed explanations, MATLAB code implementations, and visual demonstrations to bridge the gap between theoretical foundations and real-world applications, making it an invaluable resource for researchers, practitioners, and students in the fields of image processing and computer vision. 
653 |a Robotics 
653 |a Geometric transformation 
653 |a Augmented reality 
653 |a Programming environments 
653 |a Virtual reality 
653 |a Computer vision 
653 |a Image registration 
653 |a Affine transformations 
653 |a Matlab 
653 |a Medical imaging 
653 |a Euclidean space 
653 |a Image processing 
653 |a Computer graphics 
653 |a Euclidean geometry 
653 |a Transformations (Mathematics) 
653 |a Computers 
700 1 |a Samandari, Noormal  |u Department of Mathematics, Faculty of Science, Nangarhar University, Nangarhar, Afghanistan 
700 1 |a Waqar, Ikramullah  |u Department of Physics, Faculty of Science, Nangarhar University, Nangarhar Afghanistan 
773 0 |t Turkish Journal of Computer and Mathematics Education  |g vol. 16, no. 1 (2025), p. 63 
786 0 |d ProQuest  |t Science Database 
856 4 1 |3 Citation/Abstract  |u https://www.proquest.com/docview/3219370447/abstract/embedded/L8HZQI7Z43R0LA5T?source=fedsrch 
856 4 0 |3 Full Text - PDF  |u https://www.proquest.com/docview/3219370447/fulltextPDF/embedded/L8HZQI7Z43R0LA5T?source=fedsrch