Hi Israa,
To de-skew the given image in MATLAB, you can start by loading the image and then converting it to grayscale, using “rgb2gray” function, if needed. You might then apply an edge detection technique to highlight key features. This can be done using “edge” function.
From there, a transformation approach, such as the Hough Transform, can be used to identify angles or lines that will help determine the skew. To learn more about the “hough” function and how to use it, you can check the following documentation link:
Once you have calculated the skew angle, you can rotate the image to adjust and correct it using the “imrotate” function. This will help you obtain a de-skewed image. You can make further fine-tuning adjustments as needed to achieve the desired result.
For more information about the functions mentioned above, you can refer to the following documentation links:
- rgb2gray: https://www.mathworks.com/help/matlab/ref/rgb2gray.html
- edge: https://www.mathworks.com/help/images/ref/edge.html
- imrotate: https://www.mathworks.com/help/images/ref/imrotate.html
Hope this helps.
