Explore MATLAB source code curated for "增强" with clean implementations, documentation, and examples.
This program provides MATLAB code for fingerprint recognition, featuring a comprehensive pipeline including fingerprint enhancement, orientation and ridge estimation, binary masking, and feature extraction. The classification module analyzes input images to determine matching identities, implementing pattern comparison algorithms for final verification.
This project implements image segmentation and recognition for ID card processing, including image enhancement, segmentation, and character recognition. The attached report details program functionality with specific focus on handling different Chinese and English font types. The implementation demonstrates practical approaches to document image analysis using MATLAB's image processing toolbox.
"An Algorithm for Nighttime Image Enhancement" includes original documentation, program implementation with accompanying demonstration images, where the 'ye' image processing yields optimal results.
Implementation of fingerprint image enhancement using spatial domain techniques like histogram equalization, followed by frequency domain enhancement. Developed in MATLAB environment with detailed code implementation insights.
This comprehensive image processing program demonstrates techniques for compression, denoising, enhancement and sharpening. Implementation includes: displaying digital image matrix data and its Fourier transform, image compression using 2D discrete cosine transform (DCT), contrast enhancement via grayscale transformation, salt-and-pepper noise removal using medfilt2 2D median filtering, mean filtering with filter2 for noise reduction, adaptive Wiener filtering, five distinct gradient enhancement methods for sharpening, high-pass filtering with mask processing, Butterworth low-pass filter for image smoothing, and Butterworth high-pass filter for sharpening operations.
Image processing source code for various operations including image interpolation, image restoration, and image enhancement with detailed algorithmic implementation
Speech signal denoising implementation in MATLAB environment, performing wavelet transform on noisy speech signals, applying threshold-based denoising principles, and reconstructing enhanced speech signals through inverse transformation with detailed algorithm explanation.
Image processing leveraging fuzzy theory, covering image enhancement, image smoothing, and edge detection operators with algorithm explanations.
MATLAB code for fingerprint recognition implementing enhancement, binarization, and thinning functions with detailed algorithm explanations
MATLAB implementation of Kalman filtering for enhancing speech signals corrupted by white Gaussian noise, featuring effective noise reduction and signal restoration capabilities with satisfactory performance results.