图像预处理 Resources

Showing items tagged with "图像预处理"

Comprehensive implementation of image preprocessing methods (grayscale enhancement, wavelet high-pass filtering, LBP, iterative threshold segmentation, seed growing method, etc.) combined with RGB and texture (co-occurrence matrix) feature extraction algorithms

MATLAB 220 views Tagged

(1) Image Preprocessing: Perform image conversion, image enhancement, and edge detection on automotive images. (2) License Plate Localization: Segment the license plate image from preprocessed automotive images, i.e., locate the license plate position within a vehicle image. (3) Character Segmentation: Execute geometric correction, noise removal, binarization, and character segmentation on the license plate image to isolate individual character images composing the license plate number. (4) Character Recognition: Preprocess segmented characters (binarization, normalization), analyze and extract features, and recognize the segmented character images to output the license plate number in text format.

MATLAB 214 views Tagged

Shape features containing high-level semantic information hold significant application value in content-based image retrieval and image recognition. Various descriptors can characterize shape features, with Fourier descriptors being widely applied as they simplify 2D contour information into 1D problems. However, natural image shapes are typically noisy and irregular. This study proposes an image preprocessing method to obtain purified shape images and experimentally evaluates Fourier descriptor algorithms for shape feature extraction.

MATLAB 237 views Tagged