Adaptive Threshold Extraction for Road Surface Area Detection
Adaptive threshold-based road surface extraction method, particularly useful for vehicle detection systems. Personally debugged and validated with functional implementation.
Wavelet Thresholding for Signal Processing
A signal processing program based on wavelet thresholding that suppresses signal noise through adaptive threshold selection, with implementation details on threshold calculation and noise reduction algorithms.
Image Edge Extraction Using Wavelet Transform Based on Edge Detection Evaluation Criteria
This paper applies wavelet transform for image edge extraction following established evaluation criteria. We implement an adaptive threshold-based edge detection method using wavelet transform, validated through computational experiments. Performance comparison with traditional edge detection approaches demonstrates the effectiveness of the proposed methodology through algorithmic implementation and quantitative analysis.
Adaptive Thresholding for Image Segmentation and Text Extraction Technology
Image segmentation and text extraction using adaptive thresholding techniques in MATLAB, helpful for understanding fundamental principles with practical code implementation examples
Wavelet Denoising with Multiple Methods (Soft/Hard Thresholding, Adaptive Thresholding, etc.)
MATLAB programs implementing wavelet denoising using various thresholding techniques including soft/hard thresholding and adaptive thresholding with code implementation details.
Adaptive Threshold-Based Foreground-Background Separation Algorithm Under Irregular Illumination
MATLAB implementation of an adaptive threshold algorithm for separating foreground from background under uneven lighting conditions, complete with test images for validation and performance evaluation.
Adaptive Thresholding Algorithm for Grayscale Image Binarization Using MATLAB
Implementation of MATLAB-based adaptive thresholding algorithm for grayscale image binarization with code optimization techniques
Multiple Wavelet Denoising Methods in MATLAB (Soft/Hard Thresholding, Adaptive Thresholding, etc.)
denoise0701.m performs comprehensive testing of various denoising methods using color images. This MATLAB implementation compares different wavelet thresholding techniques including semi-soft thresholding, improved thresholding functions, and adaptive approaches with noise addition and performance evaluation capabilities.
Enhanced SUSAN Algorithm
Improved SUSAN algorithm for adaptive threshold-based edge detection
MATLAB Image Binarization: Methods and Implementation
Image binarization is a fundamental image segmentation technique where pixel intensities above a critical threshold are set to maximum grayscale value, while those below are set to minimum value. This process converts grayscale images into binary images. Based on threshold selection methods, binarization algorithms are categorized into fixed threshold and adaptive threshold approaches. Commonly used techniques include bimodal method, P-parameter method, iterative method, and OTSU method, each with specific MATLAB implementation considerations.