MATLAB Code Implementation for Image Preprocessing

Image preprocessing procedures are critically important as they involve a series of sequential steps such as edge denoising, binarization, and erosion operations. These processes establish essential preparatory work for license plate localization. Edge denoising enhances image quality by eliminating noise and impurities from the image through filters like Gaussian or median filters. Binarization converts the image into black-and-white format using thresholding techniques (such as Otsu's method or adaptive thresholding) to facilitate better license plate recognition. Erosion, as a morphological operation, further refines and strengthens license plate edges by removing small objects and smoothing boundaries using structuring elements. By implementing these preprocessing steps in MATLAB with appropriate functions like imfilter, imbinarize, and imerode, we can achieve more accurate license plate localization and establish a solid foundation for subsequent license plate recognition tasks.