Literature DB >> 18267469

Shape preserving local histogram modification.

V Caselles1, J L Lisani, J M Morel, G Sapiro.   

Abstract

A novel approach for shape preserving contrast enhancement is presented in this paper. Contrast enhancement is achieved by means of a local histogram equalization algorithm which preserves the level-sets of the image. This basic property is violated by common local schemes, thereby introducing spurious objects and modifying the image information. The scheme is based on equalizing the histogram in all the connected components of the image, which are defined based both on the grey-values and spatial relations between pixels in the image, and following mathematical morphology, constitute the basic objects in the scene. We give examples for both grey-value and color images.

Year:  1999        PMID: 18267469     DOI: 10.1109/83.743856

Source DB:  PubMed          Journal:  IEEE Trans Image Process        ISSN: 1057-7149            Impact factor:   10.856


  3 in total

1.  Modeling Cardiovascular Anatomy from Patient-Specific Imaging Data.

Authors:  Chandrajit Bajaj; Samrat Goswami
Journal:  Comput Methods Appl Sci       Date:  2009-01-01

2.  Extended three-dimensional impedance map methods for identifying ultrasonic scattering sites.

Authors:  Jonathan Mamou; Michael L Oelze; William D O'Brien; James F Zachary
Journal:  J Acoust Soc Am       Date:  2008-02       Impact factor: 1.840

3.  Three-dimensional geometric modeling of membrane-bound organelles in ventricular myocytes: bridging the gap between microscopic imaging and mathematical simulation.

Authors:  Zeyun Yu; Michael J Holst; Takeharu Hayashi; Chandrajit L Bajaj; Mark H Ellisman; J Andrew McCammon; Masahiko Hoshijima
Journal:  J Struct Biol       Date:  2008-09-19       Impact factor: 2.867

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.