Study of various Digital Image Processing concepts using MATLAB

Study of various Digital Image Processing concepts using MATLAB. .txt files for C are also included
Updated 7 Oct 2013

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1. Study of BMP file format.
2. Study of statistical properties- mean, standard deviation, profile, variance and
Histogram plotting.
3. Histogram equalization & modification.
4. Gray level transformations such as contrast stretching, negative, power law
transformation etc.
5. Spatial Domain filtering- smoothing & sharpening filters.
6. DCT/IDCT of given image.
7. Edge detection using Sobel, Prewitt and Roberts operators.
8. Morphological operations- erosion, dilation, opening & closing on binary
a. Image.
9. Pseudo coloring.
10. Creating noisy image and filtering using MATLAB

Cite As

Amit Nambiar (2024). Study of various Digital Image Processing concepts using MATLAB (, MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2010a
Compatible with any release
Platform Compatibility
Windows macOS Linux

Inspired: graylevel1(varargin)

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DigitalImageProcessingMATLAB/10 Restoration/

DigitalImageProcessingMATLAB/2 statistical properties/

DigitalImageProcessingMATLAB/3 Histogram equalization/

DigitalImageProcessingMATLAB/4 Gray level transformations/

DigitalImageProcessingMATLAB/5 Spatial Domain filtering-/

DigitalImageProcessingMATLAB/6 DCTIDCT/

DigitalImageProcessingMATLAB/7 Edge detection/

DigitalImageProcessingMATLAB/8 Morphological operations/

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