Gray‐Tone Image Processing and Analysis
Jean‐Charles Pinoli · 2014
The purpose of this chapter is to briefly overview the main fields and subfields of gray-tone image processing and analysis. The main objective is to introduce, in a synthetic way, the key terms and notions necessary to understand the role and importance of the mathematical frameworks. Strictly speaking, image processing focuses on the transformation of an image or several images into one or more other images. In a similar sense, image analysis aims at extracting qualitative, and more often quantitative information content from one (or more) image(s). Image comparison consists of determining the differences or the dissimilarities between two or more images, or between a collection of given images and a known reference image. Much of early human vision is organized around inferring boundaries, and operating on the boundary/region duality.