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|Title:||Constrained Connectivity for the Processing of Very High Resolution Images|
|Citation:||INTERNATIONAL JOURNAL OF REMOTE SENSING vol. 31 no. 22 p. 5879-5893|
|Publisher:||TAYLOR & FRANCIS LTD|
|Type:||Articles in periodicals and books|
|Abstract:||For complex very high resolution satellite images, relevant image structures do not all correspond to image regional extrema but also to plateaus with intermediate intensity values. In this case, dual or even self-dual morphological operations must be applied with care because they assume that the targeted image regions are either brighter or darker than their adjoining regions. A solution to this problem is to consider the image plateaus as the atomic image regions and then cluster them so as to produce relevant segmentations and edge preserving simplifications. This paper shows that this can be achieved by considering the concept of constrained connectivity. The problem of transition regions is emphasised and a solution based on the concept of local extrema mosaic is proposed. An iterative area filter ensuring that all connected components reach a minimum area threshold is also described. All transformations are illustrated on sample IKONOS images.|
|JRC Institute:||Space, Security and Migration|
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