# What Does Multi Scale Image Analysis Mean?

I'm reading an article about multi-scale representation of image, and it is said that, convolving the image with a Gaussian kernel at different $\sigma$, then different scale representation is created.

This really confuses me, because I think the image is just blurred by Gaussian with different $\sigma$, each blurred version still has the same image size, so I don't think they're scaled, unless each blurred is downsampled to a smaller image size, which means I think different size representation is truely the

It comes from the intuition that blurring image with Gaussian Blur with $\sigma$ vanishes data which is smaller then $\frac{\sigma}{3}$.