Explore MATLAB source code curated for "梯度增强法" with clean implementations, documentation, and examples.
Implementation of 5 gradient-based enhancement techniques for image sharpening, high-pass filtering with mask processing, noise reduction using Butterworth low-pass filters, and image sharpening through Butterworth high-pass filters. Includes practical code implementations for each method.
Implementation of image sharpening through 5 distinct gradient enhancement approaches with verified correct results, providing valuable insights for image processing applications.
License Plate Detection and Recognition Techniques: A gradient enhancement method is proposed to strengthen image edges through simple gradient transformations that highlight edge information, combined with dilation operations from mathematical morphology for rapid license plate localization. In the character segmentation phase, the minimum area rotation method determines the optimal license plate rotation angle, followed by vertical projection analysis to segment individual characters. Implementation involves gradient calculation algorithms like Sobel/Prewitt operators and morphological structuring elements for dilation.