Applications of locally orderless images

B. van Ginneken and B.M. ter Haar Romeny

Journal of Visual Communication and Image Representation 2000;11:196-208

DOI

Abstract

In a recent work, Koenderink and Van Doorn consider a family of three intertwined scale-spaces coined the locally orderless image (LOI). The LOI essentially represents the image, observed at inner scale sigma, as a local histogram with bin-width beta, at each location, with a Gaussian-shape region of interest of extent alpha. LOIs form a natural and elegant extension of scale-space theory, show causal consistency and enable the smooth transition between pixels, histograms and isophotes. The aim of this work is to demonstrate the wide applicability and versatility of LOIs. We present applications for a range of image processing tasks, including new non-linear diffusion schemes, adaptive histogram equalization and variations, several methods for noise and scratch removal, texture rendering, classiffication and segmentation.

A pdf file of this publication is available for personal use. Enter your e-mail address in the box below and press the button. You will receive an e-mail message with a link to the pdf file.