Explore MATLAB source code curated for "二值化处理" with clean implementations, documentation, and examples.
Image preprocessing algorithms implemented in MATLAB, including median filtering, morphological filtering, binarization processing, and image background correction with code implementation details.
Implementing iterative threshold calculation and image binarization processing in MATLAB environment, including algorithm workflow and key function explanations.
Image processing techniques including grayscale transformation, median filtering, binarization processing, edge detection, and one-dimensional size measurement with MATLAB implementation approaches
This code implements intelligent video/visual surveillance with an intuitive user interface. It captures live video streams from computer-connected cameras and processes images using background subtraction, filtering, binarization, and recognition techniques to monitor targets, with OpenCV integration for real-time processing capabilities.
Implementing the Floyd-Steinberg dithering algorithm for image binarization through error diffusion to facilitate frequency-modulated screening output, with code-level explanations of quantization error distribution and pixel processing workflows.