Explore MATLAB source code curated for "显示" with clean implementations, documentation, and examples.
Implementation of speech waveform visualization with zoom functionality (double-click to activate), audio playback, and storage of selected waveform segments using graphical interface programming techniques
This program displays all Intrinsic Mode Functions (IMFs) and residual signals obtained through Empirical Mode Decomposition (EMD), along with the reconstructed signal from these components, featuring customizable decomposition parameters and signal processing capabilities.
Acquire and display video from a camera, requiring MATLAB 7.0 or higher with recommended installation of universal camera drivers for optimal compatibility.
This series provides implementation code with detailed explanations for various digital image processing techniques: P0301: Displaying digital image matrix data and performing Fourier transforms using MATLAB's fft2 function P0302: Image compression through 2D Discrete Cosine Transform (DCT) implementation P0303: Contrast enhancement using grayscale transformation methods with intensity mapping P0304: Histogram equalization algorithm for image enhancement P0305: Simulating image degradation with Gaussian white noise and salt-and-pepper noise using imnoise function P0306: Filtering salt-and-pepper noise using 2D median filtering function medfilt2 P0307: Mean filtering of noisy images using MATLAB's filter2 function with averaging kernels P0308: Adaptive Wiener filtering for image restoration P0309: Image sharpening using five different gradient enhancement methods including Sobel and Prewitt operators P0310: High-pass filtering and mask processing techniques
This repository contains over 100 MATLAB programs covering diverse image processing domains including image display, restoration, transformation, compression, reconstruction, and segmentation - providing extensive implementation examples across all major image processing areas
Convex Polygon Detection and Display - First extract salient regions from images, then encompass these regions with minimum convex polygons, and finally visualize the polygons
Techniques covered include: Display of digital image matrix data and its Fourier transform, image compression using 2D discrete cosine transform, contrast enhancement through grayscale transformation methods, histogram equalization. Simulation of Gaussian white noise and salt-and-pepper noise effects on images, filtering salt-and-pepper noise using MATLAB's medfilt2 function for 2D median filtering, mean filtering of noisy images using filter2 function, adaptive Wiener filtering for images, image sharpening using five different gradient enhancement methods, high-pass filtering and mask processing techniques, smoothing noisy images with Butterworth low-pass filters, and image sharpening using Butterworth high-pass filters.
MATLAB image processing demonstrating normalized cross-correlation between two sub-images with implementation details
A Python and OpenCV implementation for selecting and processing regions of interest (ROI) from images in formats like JPG and TIFF. Includes interactive ROI selection, display functionality, and post-processing operations with algorithm explanations and code structure details.
MATLAB source code for displaying image gray-level distribution histograms with technical implementation details