World Map Call and Display with Customizable Range
Implementing world map invocation and display in MATLAB with full range control capabilities using mapping toolbox functions and coordinate system manipulation
Image Reading and Display Techniques
Techniques for reading images in various formats and displaying indexed images with implementation examples.
B-spline Curve and Surface Interpolation and Approximation Algorithms
Algorithms for B-spline curve and surface interpolation and approximation, along with their visualization techniques. Implementation provided in MATLAB format with code examples demonstrating key functions like bspline and parametric surface plotting.
JPEG Compression Implementation Using MATLAB
MATLAB code implementation for JPEG compression involving file reading, discrete cosine transformation, image visualization, and storage in JPG format with algorithm explanations
Solving the Schrödinger Equation with MATLAB: Frequency Bandwidth and Phase Shift Visualization
This MATLAB m-file code numerically solves the Schrödinger equation, analyzing frequency bandwidth and phase shift effects while displaying comprehensive 3D visualizations of the wave function dynamics.
MATLAB Implementation of Low-Pass Filter
MATLAB low-pass filter implementation that can be directly executed in MATLAB environment with real-time visualization capabilities
Display of Digital Image Matrix Data and Its Fourier Transform
P0301: Display of digital image matrix data and its Fourier transform implementation using fft2 function. P0302: Image compression using 2D Discrete Cosine Transform (DCT) with dct2 function. P0303: Image contrast enhancement through grayscale transformation techniques. P0304: Histogram equalization for image enhancement. P0305: Simulation of Gaussian white noise and salt-and-pepper noise effects on images. P0306: Median filtering using medfilt2 function for salt-and-pepper noise removal. P0307: Mean filtering implementation using MATLAB's filter2 function for noise reduction. 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. P0311: Image smoothing using Butterworth low-pass filter implementation.
Color Image Segmentation
Perform segmentation on color images to extract target information and display results, typically using techniques like K-means clustering, region-based methods, or deep learning approaches
Reading Hyperspectral Remote Sensing Images and Performing Principal Component Analysis
This MATLAB-based program implements hyperspectral remote sensing image reading and principal component analysis, sorting and displaying results in descending order of contribution rate, with enhanced image processing capabilities.
Decomposing Images into High-Frequency and Low-Frequency Components
Implementation of image decomposition into high-frequency and low-frequency components using MATLAB, including reconstruction and visualization of both components with Fourier transform techniques