灰度变换 Resources

Showing items tagged with "灰度变换"

Chapter 13: MATLAB Image Enhancement - 13.1 Gray-scale Transformation Enhancement (Pixel Values & Statistical Properties, Histogram Gray-scale Transformation, Histogram Equalization, Histogram Specification) - 13.2 Spatial Filtering Enhancement (Smoothing Filters, Sharpening Filters) - 13.3 Frequency Domain Enhancement (Low-pass Filters, High-pass Filters, Homomorphic Filters, Frequency Domain Enhancement MATLAB Examples) - 13.4 Color Enhancement (True Color Enhancement, Pseudo-color Enhancement) - 13.5 Wavelet Enhancement

MATLAB 261 views Tagged
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This project demonstrates image matching between two pictures, with functionalities including image scaling, rotation, and grayscale transformation. The package contains image files for testing the implementation, which utilizes key MATLAB functions such as imresize for scaling, imrotate for rotation, and rgb2gray for grayscale conversion.

MATLAB 308 views Tagged
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Comprehensive guide to image enhancement techniques including: 1. Grayscale transformation enhancement programs with histogram manipulation 2. Histogram equalization implementation examples 3. Histogram specification algorithms 4. Linear smoothing filters 5. Median filters 6. 4-neighborhood and 8-neighborhood averaging filter algorithms 7. Low-pass filter implementations 8. Butterworth low-pass filter applications with practical image examples and MATLAB code implementation approaches.

MATLAB 191 views Tagged
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Image Processing Experiment Report: Implementing Image Enhancement in MATLAB including Grayscale Transformation, Filtering, and Color Enhancement with Code Implementation Details

MATLAB 184 views Tagged
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Image processing techniques including grayscale transformation, median filtering, binarization processing, edge detection, and one-dimensional size measurement with MATLAB implementation approaches

MATLAB 212 views Tagged
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A series of digital image processing experiments implemented in MATLAB, covering essential techniques including image grayscale transformation, histogram equalization, histogram matching, neighborhood averaging, local enhancement, median filtering, and image sharpening with code implementation examples

MATLAB 184 views Tagged
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Grayscale transformation methods enhance image contrast by utilizing a series of transformation techniques to improve image contrast, achieving image enhancement for better visual observation and easier differentiation of grayscale levels. Common implementations include algorithm-based adjustments such as linear scaling, nonlinear mapping, and histogram-based modifications.

MATLAB 240 views Tagged
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