Detecting Lines and Determining Their Inclination Angle Using Radon Transform for Image Rotation

In this document, we can employ the Radon transform to detect straight lines and determine their inclination angles. The Radon transform works by computing line integrals of an image along various orientations, where peaks in the transform space correspond to prominent lines in the original image. By identifying the maximum peak's angle, we obtain the dominant line's inclination. We then rotate the image using affine transformation techniques to align the detected lines horizontally or vertically. This approach enables more effective image processing and analysis, leading to more accurate results in applications such as document skew correction or structural alignment. Key implementation steps include: 1) Applying Radon transform with angle sampling (e.g., 0°-180°), 2) Finding peak coordinates using maximum value detection, 3) Calculating rotation angle from peak position, and 4) Performing image rotation with interpolation methods like bilinear or bicubic to maintain image quality.