Abstract:

In this paper, we have developed practical applications of linear algebra in image processing using Python. Image processing is based on first Importing the image, then Analyzing and manipulating the image, and finally to check output. We have explore different linear algebraic techniques with different algorithms implemented to matrix operations using addition subtraction multiplication and the beautiful nature of finding inverse, eigendecomposition, and singular value decomposition (SVD). Applied this technique to various image processing tasks, such as image filtering, feature extraction, fusion and overlapping of images, and image reconstruction with the help of specific image pixels under Python coding. Specifically, we use the NumPy and OpenCV libraries in Python to implement these techniques. The results contain the power and adaptability of linear algebra in image processing

Keywords: