Artificial Intelligence By Example

Mathematical approach

The initial image has a set of values you can display, as follows:

#II.Load imageimage=mpimg.imread('img.bmp')[:,:,0]shape = image.shapeprint("image shape",shape)

The code will print a numerical output of the image as follows:

image shape (100, 100)image before convolution[[255 255 255 ..., 255 255 255] [255 255 255 ..., 255 255 255] [255 255 255 ..., 255 255 255] ...,

The convolution filter is applied using filter.convolve, a mathematical function, to transform the image and filter it.

The convolution filter function uses several variables:

• The spatial index for the 3 x 3 kernel to apply; in this case, it must know how to access the data. This is performed through a spatial index, j, which manages data in grids. Databases ...