Local Histogram Equalization image project question

function J = Project1_XX(I,m,n) LOCALHISTEQ Local histogram equalization.

J= Project1_XX(I,m,n) performs local histogram equalization on input image I using a window of (odd) size m-by-n to produce the processed image, J. To handle border effects, image I is extended by using the symmetric option in function pad array. The amount of extension is determined by the dimensions of the local window. If m and n are omitted, they default to 3. If n is omitted, it defaults to m. Both must be odd. Use function InClass2 for histogram equalization.

How do you obtain m, n in this case and how do you use this?

Answer 1

[Image Analyst]

You pick something when you call the function. Pick whatever you want but not something bigger than the dimensions of the image.

[John Riley]

Is this like picking a small block of the image like a 1x1. Then we move through the image with a for loop to process the image?

[Image Analyst]

Yes, but they want a window/block of m rows and n columns, not 1 by 1 which is just scanning with a single pixel and would not do any filtering.

[John Riley]

How would i do that ?