kernel filtering raw image of northern lights in matlab

To filter a raw image of northern lights in MATLAB, you can use the following steps:

1. Read the image using the imread function in MATLAB.
2. Convert the image from its native format to double using the im2double function.
3. Define a filter kernel that you want to use. A common kernel for edge detection is the Sobel operator, which calculates the gradient of the image intensity. You can use the fspecial function to create a Sobel kernel or any other custom kernel.
4. Use the imfilter function to apply the filter kernel to the image. This function returns the filtered image.
5. Display the filtered image using the imshow function.

Here's the MATLAB code that implements the above steps:

main.m
% read the raw image
img = imread('northern_lights_raw.jpg');
% convert image to double
img = im2double(img);

% define a kernel
kernel = fspecial('sobel');

% apply the kernel to the image
filtered_img = imfilter(img, kernel);

% display the filtered image
imshow(filtered_img);
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You can experiment with different filter kernels and combinations of kernels to achieve the desired effect on the raw image of northern lights.