Image Processing using MATLAB by Rashi Agrawal

• Lecture 1: Introduction tutorial to MATLAB
• Lecture 2: Introduction to Image processing toolbox of MATLAB
• Lecture 3: USING MATLAB TO READ RGB & INDEXED IMAGES
• Lecture 4: Conversions of images from one format to other using MATLAB
• Lecture 5: Extraction of bit planes in a grayscale image using MATLAB
• Lecture 6:Resizing images by inbuilt commands and our own MatLab program
• Lecture 7: Point transformations in Matlab-Part1
• Lecture 8: Point Transforms- Part2: Log and power transformations in images using MatLab programs
• Lecture 9: Histogram equalization and contrast stretching in Matlab
• Lecture 10: Low pass filters for images using Matlab
• Lecture 11: Histogram specification using Matlab
• Lecture 12: Gaussian noise and Gaussian filter implementation using Matlab
• Lecture 13: Median filter to remove Salt & Pepper noise
• Lecture 14: Implement Histogram Equalisation without Histeq( )
• Lecture 15: Implementation of High pass first order filter in Matlab
• Lecture 16: The theory of Laplacian filter and implementation in MATLAB
• Lecture 17: Fourier Transformations (Part 1)
• Lecture 18:INTRODUCTION TO FOURIER TRANSFORMATIONS -PART II
• Lecture 19: INTRODUCTION TO FOURIER TRANSFORMATIONS -PART III
• Lecture 20: Fourier Transformation of a circle to show the ringing effect
• Lecture 21: Low Pass Filter in Fourier Domain Using MATLAB
• Lecture 22: High Pass Filtering in Frequency Domain
• Lecture 23: High Pass Butterworth Filter in Frequency Domain
• Lecture 24: Low Pass Butterworth Filter in Frequency Domain using MATLAB
• Lecture 25: Low pass Gaussian Filter in the Frequency Domain using MATLAB
• Lecture 26: Homomorphic Filter using Matlab
• Lecture 27:Image acquisition using webcam in Matlab
• Lecture 28: The Theory of Wavelet Transform and its implementation using Matlab
• Lecture 29: Implementation of Watermarking using Discrete Cosine Transform in Matlab
• Lecture 30:Image Compressing using Discrete Cosine Transform in Matlab- Part 1
• Lecture 31:Image compression part 3 (JPEG algorithm) using MATLAB
• Lecture 32: Matlab codes for Image compression ( part 4)
• Lecture 33: Image segmentation using nearest neighbor classifier in Matlab
• Lecture 34: Segmentation using Threshold value- Adaptive and Otsu's Method
• Lecture 35: Image Segmentation using Polynomial Curve Fitting in Matlab
• Lecture 36: Segmentation using Watershed Algorithm in Matlab
• Lecture 37: Labeling of objects in an image using segmentation in Matlab
• Lecture 38: Theory of Image Processing
• Lecture 39: Principal Component Analysis- Part II