General Adaptive Neighborhood Image Processing

@article{Debayle2006GeneralAN,
  title={General Adaptive Neighborhood Image Processing},
  author={Johan Debayle and Jean-Charles Pinoli},
  journal={Journal of Mathematical Imaging and Vision},
  year={2006},
  volume={25},
  pages={245-266}
}
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… CONTINUE READING
Highly Cited
This paper has 63 citations. REVIEW CITATIONS

9 Figures & Tables

Topics

Statistics

01020'06'07'08'09'10'11'12'13'14'15'16'17'18
Citations per Year

63 Citations

Semantic Scholar estimates that this publication has 63 citations based on the available data.

See our FAQ for additional information.