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Image Processing in MATLAB

via YouTube

Overview

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This course on Image Processing in MATLAB aims to teach learners how to extract image properties, manipulate images, perform various operations like convolution and thresholding, analyze histograms, apply filters, and detect edges using MATLAB. The course uses a tutorial format to guide learners through hands-on exercises on image processing techniques. The intended audience for this course includes beginners and individuals interested in learning image processing using MATLAB.

Syllabus

Lesson 1: Extracting Image Properties using MATLAB.
Lesson 2: Reading, Changing Format and Writing Image using MATLAB.
Lesson 3: Displaying Images using MATLAB.
Lesson 4: Changing Color Space.
Lesson 5: Separating / Splitting Channels using MATLAB.
Lesson 6: Accessing the Pixel Value of a Grayscale Image using Matlab.
Lesson 7: Accessing Pixel Values of an RGB Image using Matlab.
Lesson 8: Convolution of 1D Signal using Matlab.
Lesson 9: Convolution of 2D Image.
Lesson 10: Image Construction using Sample Points.
Lesson 11: Adding Pixel Values using Matlab.
Lesson 12: Image Subtraction in Matlab.
Lesson 13: Multiplication and Division on Image using Matlab.
Lesson 14: Image Complement using Matlab.
Lesson 15: xor Operation on Matlab.
Lesson 16: Changing Binary Threshold using Matlab.
Lesson 17: Logarithmic Transformation of Image using Matlab.
Lesson 18: Exponential Transformation of Image using Matlab.
Lesson 19: Power Law Transformation of Image Using MATLAB.
Lesson 20: Histogram Analysis using Matlab.
Lesson 21: Counting the Values of bins of Histogram using Matlab.
Lesson 22: Threshold Selection for Image using Matlab.
Lesson 23: Adaptive Threshold in Image Processing using Matlab.
Lesson 24: Contrast Stretching in Image Processing using Matlab.
Lesson 25: Histogram Equalization in Image Processing using Matlab.
Lesson 26 Histogram Matching in Image Processing using Matlab.
Lesson 27: Color Histogram in Image Processing using Matlab.
Lesson 28: Max and Min Filtering in Image Processing using Matlab.
lesson 29: Adding Salt and Pepper Noise using Matlab.
Lesson 30: Removing Salt and Pepper Noise using Mean Filter in Matlab.
Median Filter to Remove Noise from Image.
Lesson 32: Rank Filter.
Lesson 33: Gaussian Filter.
Lesson 34: Roberts Edge Detector.
Lesson 35: Prewitt Edge Detection.
Lesson 36: Sobel Edge Detector.
Lesson 37: Edge Detection in Videos.

Taught by

Nuruzzaman Faruqui

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