Applications of locally orderless images

B. Ginneken, van, B.M. Haar Romenij, ter

Research output: Contribution to journalArticleAcademicpeer-review

10 Citations (Scopus)

Abstract

In a recent work, J. J. Koenderink and A. J. Van Doorn considered a family of three intertwined scale-spaces coined the locally orderless image (LOI) (1999, J. Comput. Vision, 31 (2/3), 159–168). The LOI represents the image, observed at inner scale ó, as a local histogram with bin-width â, at each location, with a Gaussian-shape region of interest of extent á. 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 nonlinear diffusion schemes, adaptive histogram equalization and variations, several methods for noise and scratch removal, texture rendering, classification, and segmentation.
Original languageEnglish
Pages (from-to)196-208
JournalJournal of Visual Communication and Image Representation
Volume11
Issue number2
DOIs
Publication statusPublished - 2000

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