Fourier Descriptors for Image Edge Analysis
Implementation of Fourier descriptors for image edges, applicable for edge detection and shape analysis with frequency-domain feature extraction.
Wavelet Modulus Maxima for Image Edge Detection and Extraction
This program effectively detects and extracts image edges using wavelet modulus maxima, achieving optimal results through multiscale gradient analysis and local extremum identification.
MATLAB Implementation of Gabor Filter for Edge Detection
Gabor filter implementation in MATLAB for detecting image edge information, featuring practical code examples and explanations suitable for beginners learning image processing techniques.
Edge Detection in Images Using Gaussian Function Derivatives
This method detects image edges through Gaussian function derivatives, which is essentially equivalent to steerable wavelet transform-based edge detection across eight directional transformations.
Image Edge Detection Using Sobel Operator and Hough Transform
Detecting image edges through Sobel operator and Hough transform, calculating inter-edge distances using MATLAB implementation with gradient computation and line detection algorithms
Mean Shift Algorithm for Image Edge Extraction and Image Segmentation
Implementation of Mean Shift Algorithm for Image Edge Detection and Segmentation with Code Examples
Freeman Chain Code (8-Direction) for Image Edge Representation
Implementation of Freeman chain code (8-direction) for image edge description, with applications in content-based image retrieval systems using boundary tracing algorithms and directional encoding
Implementation of Edge Line Fitting from Image Edges Using MATLAB
MATLAB simulation for achieving edge line fitting starting from the edges of an image, including algorithm implementation and key function usage
MATLAB Implementation of Image Edge Detection Through Wavelet Transform
Extracting image edges from wavelet coefficient gradients using wavelet transformation
Relevant Techniques for License Plate Detection and Recognition
License Plate Detection and Recognition Techniques: A gradient enhancement method is proposed to strengthen image edges through simple gradient transformations that highlight edge information, combined with dilation operations from mathematical morphology for rapid license plate localization. In the character segmentation phase, the minimum area rotation method determines the optimal license plate rotation angle, followed by vertical projection analysis to segment individual characters. Implementation involves gradient calculation algorithms like Sobel/Prewitt operators and morphological structuring elements for dilation.