Explore MATLAB source code curated for "直方图" with clean implementations, documentation, and examples.
MATLAB-based image processing code featuring histogram visualization, grayscale stretching, image equalization, and frequency-domain smoothing filters, with concise implementation, practical utility, and clear code annotations
Development of a GUI-based application enabling comprehensive image processing capabilities including image I/O operations, grayscale transformations, histogram manipulation, enhancement techniques, filtering, restoration methods, edge detection algorithms, and resizing functionalities
Image segmentation using bimodal method with histogram display, determining threshold based on histogram analysis, and applying this threshold for image stylization processing
Image preprocessing for leaf area calculation including grayscale conversion, histogram equalization, and noise reduction, ultimately determining the pixel sum representing leaf area through segmentation and pixel counting algorithms.
A color quantization program in HSV color space that performs color reduction and generates corresponding histogram visualizations with code implementation details
This study proposes a contrast enhancement algorithm based on conventional grayscale transformation and histogram equalization methods. The algorithm implements a multi-stage approach involving histogram smoothing, histogram equalization, uniform grayscale distribution across the display range, and median filtering for noise reduction.
Contourlet wavelet implementation combined with three histogram-based image enhancement algorithms for improved visual quality and detail preservation
Implementation of infrared image non-uniformity correction through histogram statistics and processing techniques, with special focus on addressing stripe non-uniformity commonly found in infrared imagery using algorithmic approaches.
Statistical Representation of Color Distribution in Digital Images
Image enhancement methods in the spatial domain including histogram equalization, Laplacian operators, unsharp masking, and spatial filtering approaches with implementation considerations