👉 Image math is a branch of mathematics that deals with the analysis and processing of images using mathematical techniques. It involves applying algebraic, geometric, and analytical methods to understand, manipulate, and interpret visual data. This field leverages concepts from linear algebra, calculus, and probability theory to solve problems related to image reconstruction, enhancement, segmentation, and classification. For instance, techniques like Fourier transforms are used for frequency domain analysis, while convolutional neural networks (CNNs) apply deep learning to image tasks. Image math bridges the gap between abstract mathematical theories and practical applications in computer vision, enabling advancements in areas such as medical imaging, autonomous driving, and digital photography.
