Moving Target Detection Using DPCA
This implementation utilizes DPCA (Displaced Phase Center Antenna) for moving target detection, generating SAR echoes and applying DPCA methodology to identify and track moving targets within the echo data.
Circle Detection in Grayscale Images using MATLAB
Implementation of circle detection algorithms in MATLAB for identifying circular regions within grayscale images, employing image processing techniques and parameter optimization for accurate results
Digital Watermark Embedding and Extraction with Detection and Attack Mechanisms - Featuring LSB, DCT, and Other Algorithms
Comprehensive techniques for digital watermark embedding, extraction, detection, and attacks including LSB (Least Significant Bit) and DCT (Discrete Cosine Transform) algorithms with code implementation insights
Detection of Circular Image Regions with Varying Radii
Enables detection of circular image regions with different radii through implementation of computer vision algorithms
Detection and Recognition of Red Traffic Signs in Complex Scenes
Detection and recognition of red traffic signs in complex environments using color-based circular sign localization, feature extraction, and template matching algorithms. Includes image demonstrations and program explanations with code implementation details for HSV color segmentation, Hough circle detection, and feature matching techniques to assist beginners.
Duffing Oscillator-Based Weak Signal Frequency Detection
MATLAB implementation for detecting weak signal frequencies using Duffing oscillator system, capable of identifying signals within 0.03 frequency deviation from periodic driving force with -68dB SNR tolerance
Motion Vehicle Detection Using Background Subtraction Method
Implementation of background subtraction for detecting moving vehicles, including image preprocessing and edge extraction techniques for vehicle images
MATLAB-Based Crack and Scratch Detection
In industrial production, surface defects such as cracks, scratches, and discoloration frequently pose challenges for both manual inspection and machine vision systems. These defects are difficult to detect due to their irregular shapes, low contrast variations, and interference from natural textures or patterns on product surfaces. Successful surface defect detection requires optimized lighting conditions, high-resolution cameras, precise component-camera positioning, and advanced machine vision algorithms. The scratch detection process typically involves two key steps: first, identifying the presence of scratches on the product surface, and second, extracting the scratch features using image processing techniques.
Detection of Weak Sinusoidal Signals Using MP Algorithm in Sparse Decomposition
Implementation of weak sinusoidal signal detection under strong noise background using Matching Pursuit (MP) algorithm in sparse decomposition framework, thoroughly debugged and verified for correctness with detailed code implementation analysis.
ECG Signal QRS Complex Detection
Detection of QRS complexes in ECG signals using wavelet-based methods and alternative approaches