Edge Histogram Extraction from an Image with Implementation Insights
Extract an edge histogram from an image for robust image matching applications, featuring algorithm explanations and code-oriented implementation guidance
Multi-Threshold Segmentation for CT Images
Multi-threshold segmentation based on histogram analysis enables extraction of three optimal thresholds, particularly suitable for CT image processing applications
Modify Histogram Based on Embedded Watermark Values
Modify histogram based on embedded watermark values, performing wavelet transform on images to extract histogram of specific subbands with implementation approaches for frequency-domain analysis
MATLAB Histogram Statistics
MATLAB histogram statistics enables statistical analysis and histogram plotting with customizable binning and visualization parameters
Image Processing - Noise Filtering and Histogram Analysis
Implementing common noise filtering techniques for image denoising and generating pixel distribution histograms with code examples
HOG Calculator: Image Gradient Algorithm Implementation
A comprehensive image gradient calculation algorithm that implements histogram of oriented gradients (HOG) feature extraction, including storing final histograms for all processing blocks, scanning images sequentially from top-left to bottom-right, and organizing cell histograms uniformly within each block for efficient gradient computation.
Image Processing with Noise Analysis
Plotting Noisy Images and Their Histograms with Implementation Details