MATLAB Implementation of Image Binarization and Processing Techniques
Image Binarization, Discrete Noise Removal, Color Image Grayscale Conversion, Feature Extraction, Grayscaling Methods, and Average Grayscale Calculation for Color Images
Determining Image Binarization Threshold via Maximum Entropy Method with Input Image Name
Implementation of maximum entropy method for calculating image binarization threshold using input image name, reading image file M to statistically analyze probability distribution of gray levels
MATLAB Code Implementation for Image Binarization and Morphological Operations
Implementation of fundamental digital image processing algorithms in MATLAB including image binarization, dilation, erosion, opening and closing operations, and thinning processing using advanced programming techniques.
MATLAB Implementation of Threshold Segmentation Algorithm
This threshold segmentation algorithm performs image binarization to extract regions of interest, implemented with MATLAB functions like graythresh() for optimal threshold calculation and imbinarize() for binary conversion.
MATLAB Implementation of Otsu's Algorithm for Image Binarization
Implementation of Otsu's algorithm for adaptive threshold calculation and image binarization, includes histogram equalization program for enhanced image processing results
Image Binarization Process in License Plate Recognition
This program demonstrates a critical component in license plate recognition systems - the image binarization process, which implements thresholding techniques to highlight license plate features for improved detection accuracy
MATLAB Implementation of Image Binarization Using Niblack Algorithm
This MATLAB implementation demonstrates image binarization via the Niblack algorithm, featuring local threshold computation and adaptive processing for grayscale-to-binary conversion. Includes code structure explanation and practical usage examples.
MATLAB Code Implementation for Image Binarization
This program implements image binarization, converting a BMP image into a black-and-white image with the additional capability of inverting black and white colors. Key implementation involves thresholding algorithms and pixel value manipulation.
Otsu's Thresholding Algorithm for Image Segmentation
Image binarization using Otsu's thresholding method for grayscale images, separating foreground objects from background through adaptive threshold selection
Zhang and Tan's Enhanced Niblack Algorithm for Document Image Binarization
Zhang and Tan propose an improved version of the Niblack algorithm with dynamic window adjustment, background compensation, and parameter optimization for enhanced document image processing.