Adaptive Threshold Algorithm for Foreground-Background Separation
Adaptive threshold algorithm effectively separates foreground from background including handling non-uniform illumination conditions.
Wavelet Denoising
Wavelet denoising is an adaptive thresholding algorithm that achieves superior signal-to-noise ratio (SNR), making it one of the most effective denoising methods currently available. The implementation typically involves thresholding wavelet coefficients using methods like soft or hard thresholding.
MATLAB Implementation of Adaptive Threshold Algorithm
Writing and calling an adaptive threshold function in MATLAB with code implementation details
Adaptive Threshold Algorithm Based on Second-Generation Wavelet Analysis
Highly practical adaptive threshold algorithm utilizing second-generation wavelet analysis with efficient signal and image processing capabilities
Adaptive Thresholding Algorithm for Irregular Illumination Conditions
Implementation of an adaptive thresholding algorithm to extract foreground images from backgrounds with uneven lighting conditions, using advanced image processing techniques and dynamic threshold calculation methods.