Please use this identifier to cite or link to this item:
|Title:||Iterative Area Filtering of Multichannel Images|
|Authors:||BRUNNER DOMINIK; SOILLE PIERRE|
|Citation:||IMAGE AND VISION COMPUTING vol. 25 p. 1352 - 1634|
|Publisher:||ELSEVIER SCIENCE BV|
|Type:||Articles in periodicals and books|
|Abstract:||Owing to the absence of total ordering between vectors of more than one dimension, most morphological transformations are not directly applicable to multichannel images. In this paper, we show that area based operators can be extended to the processing of multichannel images by using the quasi-flat zones and seeded region growing paradigms. The method is iterative in the sense that it starts with the smallest non-unitary quasi-flat zones until an automatically derived contrast threshold value is reached. Pseudo-code is given for all algorithms. We illustrate their usefulness for the simplification of complex natural images such as those occurring in satellite images of the earth.|
|JRC Institute:||Institute for the Protection and Security of the Citizen|
Files in This Item:
There are no files associated with this item.
Items in repository are protected by copyright, with all rights reserved, unless otherwise indicated.