Explore MATLAB source code curated for "vc" with clean implementations, documentation, and examples.
A comprehensive VC (Visual C++) implementation article on face recognition technology, providing valuable insights and practical code examples for developers working in computer vision and biometric security systems.
LibSVM Toolbox implemented in MATLAB environment with full VC interface compatibility! Visit my homepage for more details: http://huangbo929.blog.edu.cn
SIFT-based Image Fusion using MATLAB+VC Hybrid Programming - Achieving image stitching functionality through integrated MATLAB feature extraction and VC++ implementation.
Implementing RS (Reed-Solomon) code encoding and decoding through MATLAB or VC++ programming based on understanding the underlying principles. The comprehensive workflow includes: generating random sequences as original transmitted bit streams, performing RS encoding, BPSK modulation, adding AWGN (Additive White Gaussian Noise) channel noise, demodulating received signals, and executing RS decoding to recover transmitted data. Key implementation aspects involve Galois field arithmetic, generator polynomial construction, and error correction algorithms.
Implementation of image processing software using MATLAB or VC++ with the following functionalities: 1. Image reading and display for grayscale/color images with color-to-grayscale conversion (8 credit hours); 2. Image resolution reduction and enhancement (16 credit hours); 3. Grayscale histogram calculation/display and analysis of distribution characteristics (16 credit hours); 4. Histogram equalization processing and result analysis (16 credit hours); 5. For color images: display R/G/B component noise images and perform median/mean filtering on H/S/I components with template sizes of [sizes to be specified]
This article demonstrates how to utilize MATLAB resources within Visual C++ (VC) through a practical example showing the integration and invocation of custom .m files in VC projects, including engine initialization and data exchange mechanisms.
Two platform implementations (MATLAB and VC) for visualizing B-spline and Bezier curves with code-based parameter control and rendering techniques
Integrating MATLAB Computational Capabilities into VC++ Applications