Extracting useful information from images
The paper presents an overview of methods for extracting useful information from digital images. It covers various approaches that utilized different properties of images, like intensity distribution, spatial frequency content and several others. A few case studies including isotropic and heterogeneous, congruent and non-congruent images are used to illustrate how the described methods work and to compare some of them. (c) 2010 Elsevier B.V. All rights reserved.
image processing image analysis textures fractal analysis angle measure technique wavelets image morphology