Skip to Main content Skip to Navigation
Journal articles

General Adaptive Neighborhood Image Processing. Part II: Practical Applications Issues

Abstract : The so-called General Adaptive Neighborhood Image Processing (GANIP) approach is presented in a two parts paper dealing respectively with its theoretical and practical aspects. The General Adaptive Neighborhood (GAN) paradigm, theoretically introduced in Part I [20], allows the building of new image processing transformations using context-dependent analysis. With the help of a specified analyzing criterion, such transformations perform a more significant spatial analysis, taking intrinsically into account the local radiometric, morphological or geometrical characteristics of the image. Moreover they are consistent with the physical and/or physiological settings of the image to be processed, using general linear image processing frameworks. In this paper, the GANIP approach is more particularly studied in the context of Mathematical Morphology (MM). The structuring elements, required for MM, are substituted by GAN-based structuring elements, fitting to the local contextual details of the studied image. The resulting morphological operators perform a really spatiallyadaptive image processing and notably, in several important and practical cases, are connected, which is a great advantage compared to the usual ones that fail to this property. Several GANIP-based results are here exposed and discussed in image filtering, image segmentation, and image enhancement. In order to evaluate the proposed approach, a comparative study is as far as possible proposed between the adaptive and usual morphological operators. Moreover, the interests to work with the Logarithmic Image Processing framework and with the 'contrast' criterion are shown through practical application examples.
Complete list of metadata

Cited literature [98 references]  Display  Hide  Download

https://hal.archives-ouvertes.fr/hal-00128123
Contributor : Andrée-Aimée Toucas Connect in order to contact the contributor
Submitted on : Tuesday, January 30, 2007 - 5:19:43 PM
Last modification on : Thursday, October 22, 2020 - 11:34:03 AM
Long-term archiving on: : Wednesday, April 7, 2010 - 2:34:37 AM

File

JD-JMIV-P2-pp.pdf
Files produced by the author(s)

Identifiers

Citation

Johan Debayle, Jean-Charles Pinoli. General Adaptive Neighborhood Image Processing. Part II: Practical Applications Issues. Journal of Mathematical Imaging and Vision, Springer Verlag, 2006, 25(2), pp.267-284. ⟨10.1007/s10851-006-7452-7⟩. ⟨hal-00128123⟩

Share

Metrics

Record views

486

Files downloads

666