intensitytransformation.ppsx

The document discusses intensity transformation and spatial filtering techniques for image processing. It describes histogram processing, where the intensity levels of an image are represented as a discrete function and the histogram is normalized. Histogram equalization is then explained as a technique that maps the intensity levels of an input image to produce a uniform distribution in the output image. This is done by using a strictly monotonically increasing transformation function and the inverse formulation to map each intensity value to a new value. An example demonstrates histogram equalization on an image with a non-uniform probability density function.