- Import Excel file to uitable in MATLAB
- Simple Image Thresholding using GUI component Slider
- Solving quadratic equation by graphical method
- MATLAB GUI form to excel sheet
- MATLAB GUI example
- Paint Application in MATLAB [Flood fill algorithm]
- Paint Application using bwlabel concept
- Simple GUI Calculator in MATLAB
- Pop-up Menu Example
- Tile Memory Game
- Image Zooming
- How to use different images or colormaps on a same figure (Stack of Images)

2.Image Conversion

- RGB image to binary image without using im2bw function
- YIQ image to RGB image
- RGB image to YIQ image
- RGB image to grayscale image without using rgb2gray function
- Otsu's thresholding without graythresh function
- Converting RGB Image to HSI Image
- Converting HSI Image to RGB Image
- Partially Colored Gray Image
- Color Slicing using HSV color space

3.Image Filtering Techniques

- Median filtering for salt and pepper noise without using medfilt2 function
- Part 2: Median filter for different window size
- Part 3: Median filter for RGB image
- Linear filtering without using imfilter function
- Lee Filter
- Add 'Salt and pepper'or 'Speckle' noise to an image
- Adaptive filtering- Local Noise filter
- One Dimensional Low pass , High Pass and band pass filtering
- Max Filter
- Min Filter
- Gaussian Filtering/ Gaussian Blur
- Multilook Technique for speckle reduction
- Upsampling in MATLAB
- Upsampling in Frequency Domain
- Convolution in MATLAB

5.Histogram Equalization

6.Object Identification

7.Edge detection in MATLAB

9.MATLAB Built_in functions

- MATLAB output function
- Cartesian to Polar co-ordinates
- Histogram of an image
- How to draw in MATLAB
- Reverse the words position in a string
- Mean, Median, Variance, Standard deviation and Mode

10.PhotoShop Effects in MATLAB

11.Array functions in MATLAB

- Array sorting in MATLAB
- Adding elements to a 2d array
- Cell array search
- Number of occurrences in cell array

12.Image Geometry

- Image Rotation (Examples without imrotate function)
- Image Rotation - Part2
- Nearest Neighbor Interpolation

13.Templates

16. Morphological Image Processing

17. Video Processing

- Create video from an Image
- Get Frames from a Video
- How to add subtitle to Video
- Create Video from sequence of Images

18. Image Compression

19. Files

- Read a file in reverse - from end of the file to beginning of the file
- Read words in a file in reverse order
- How to read image file or complex image file in MATLAB

20. Image Transformation

- 2-D Discrete Cosine Transform
- 2-D Inverse Cosine Transform
- Intensity Transformation - Part 1
- Fast Fourier Transform on 2 Dimensional matrix using MATLAB
- Gray Scale to Pseudo Color Transformation
- Linear Contrast Enhancement
- Balance Contrast Enhancement Technique

21. Computer Vision System

22. Image Coding

## 10 comments:

u r great.....simply great....thanks for all your works..will keep as my reference...

do you have matlab coding for measuring diameter for two points ? thank you for your work . really help in my final project :)

You Are Great Person!!!!!!!!! You helped me in my Final year Problems........ Lots of Prayers For You,... Stay Blessed ,,, :)

Sir please make code for high boost filtering ....

sir can u please help me in extraction of text from an image without mostly using built in functions..

This is really great. Your blog have helped me a lot during my master study. Im biomedical science bachelor degree holder and pursuing my study by doing master by research in image processing background. As a person who have zero knowledge regarding coding, This blog have help me a lot to study the matlab independently. Please dont stop what you are doing. It is really helpful. I wanna to say how thankful I am

sir can you say what features should be extracted from an image to form feature vector to use in one of classifier(tree,knn,svm) for to train it.

Do you have example of moore neighbor method ? for Matlab , I attempt to find but I cannot find them.

Thank you

very nice matlab implementation

wonderful MATLAB implementation.sir can you say what features should be extracted from an blood cell image to form feature vector to use in one of classifier(tree,knn,svm) for to train it.

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