Robust Computation of Fundamental Matrix Between Two Views Using RANSAC Algorithm
Implementation of RANSAC-based robust fundamental matrix calculation featuring both 7-point and 8-point algorithms for computer vision applications
Explore MATLAB source code curated for "鲁棒性" with clean implementations, documentation, and examples.
Implementation of RANSAC-based robust fundamental matrix calculation featuring both 7-point and 8-point algorithms for computer vision applications
This image-based barcode recognition program specializes in EAN13 code detection, demonstrating strong robustness when the barcode background consists of solid colors. The implementation incorporates advanced image preprocessing techniques and pattern recognition algorithms.
Despite the extensive practical use of self-tuning controllers, their limitations are increasingly evident—particularly in systems with variable orders, time delays, and parameters. Consequently, developing controllers with robust performance is highly valuable for real-world applications. The generalized predictive control (GPC) self-tuning controller, proposed by Clark et al., is a parameter model-based predictive control algorithm. It employs a receding horizon optimization performance index and integrates system identification and self-tuning mechanisms to overcome inherent weaknesses, resulting in superior robustness. Key implementation aspects include online parameter estimation using recursive least squares (RLS) and predictive output computation via Diophantine equations.
MATLAB source code for geodesic active contour segmentation based on level set methodology, capable of extracting multiple object contours. Demonstrates strong robustness to noisy images while requiring substantial computational resources and extended processing time. Implementation includes edge-based evolution functions and curvature regularization terms.
This ant colony optimization algorithm is specifically designed for solving the Traveling Salesman Problem (TSP), demonstrating excellent optimization efficiency and robust performance.
Implementation of SVPWM-based PMSM simulation demonstrating reduced torque ripple, faster response, and improved robustness compared to conventional direct torque control methods. The simulation includes MATLAB/Simulink implementation with Clarke/Park transformations, sector identification, and voltage vector synthesis algorithms.
Implementation of audio watermark embedding and extraction using mean quantization in wavelet domain with strong robustness properties
To improve the robustness of image encryption algorithms, we propose a novel adaptive image encryption technique. This algorithm partitions grayscale or color images of arbitrary sizes into 2×2 sub-blocks. Using pixel intensity values from the top-left sub-block and Chebyshev chaotic mapping, we construct a matrix matching the dimensions of the top-right sub-block for pixel value substitution. The encryption process follows a clockwise pattern until all sub-blocks including the top-left are processed. Implementation involves creating dynamic encryption keys through chaotic systems and applying pixel-level transformations using matrix operations, making the algorithm size-independent and suitable for both grayscale and color images with enhanced diffusion and confusion properties.
A robust video edge detection algorithm implemented in MATLAB for detecting edges in video sequences. This implementation demonstrates effective edge detection with good stability, using techniques like frame-by-frame processing and edge detection operators such as Sobel or Canny. The code structure and algorithm approach provide valuable learning references for video processing applications.
Implementation of the RAPT algorithm for fundamental frequency extraction (a robust pitch detection method). The input file format is WAV waveform, with implementation demonstrating audio signal preprocessing, pitch candidate generation, and dynamic programming-based path tracking.