MATLAB Code Implementation for Moving Target Detection
MATLAB code for moving target detection using frame-by-frame video analysis, featuring algorithm optimization techniques and practical implementation approaches.
Image Vanishing Point Detection
Image vanishing point detection employing edge detection and Hough transform techniques with algorithmic implementations
BER Analysis of 8PSK Modulation under Gaussian Noise with Theoretical Comparison
Simulation and analysis of 8PSK bit error rate performance in AWGN channels with theoretical validation and implementation insights
PDF417 Barcode Localization and Detection
PDF417 barcode localization and detection, video course assignment, achieves precise barcode positioning with rotational correction to upright orientation
Circle Detection in Image Processing using Hough Transform
This program implements Hough Transform methodology to detect circular objects in images by identifying their center coordinates and radius parameters with precision.
Edges as the Most Fundamental Feature in Image Processing
Edges represent the most fundamental features in images and serve as the first step in image segmentation. Classical edge detection methods—such as Roberts, Sobel, Prewitt, Kirsch, and Laplace—generally operate by constructing small neighborhood operators to compute first or second-order derivatives, identifying gradient maxima or zero-crossings of the second derivative, and finally applying a suitable threshold to extract boundaries. These gradient-based methods, however, are noise-sensitive and computationally intensive. In contrast, the SUSAN (Smallest Univalue Segment Assimilating Nucleus) algorithm relies solely on grayscale comparisons of surrounding pixels without any gradient calculations, making it highly robust to noise and computationally efficient. SUSAN has been effectively applied in edge detection for various types of images.
Ring Artifact Detection and Removal Algorithm for CT Images
This algorithm detects and eliminates ring artifacts in CT images and can be extended to mitigate metal artifacts through specialized processing techniques including frequency domain filtering and sinogram correction.
MATLAB Source Code for Digital Watermark Embedding Implementation
MATLAB-based source program implementing digital watermark embedding, extraction, and detection algorithms for multimedia protection
Detection and Parameter Estimation of Spread Spectrum Signals
Implementation of spread spectrum signal detection and parameter estimation using MATLAB, demonstrating superior detection capability under low signal-to-noise ratio conditions through cross-correlation analysis and peak detection algorithms
MATLAB Simulation for Radar Signal Echo Detection Using IFFT Algorithm
MATLAB implementation of IFFT-based radar signal echo detection with algorithm parameter analysis and signal processing validation