Theoretical aspects of morphological filters by reconstruction
Signal Processing
Locality and Adjacency Stability Constraints for MorphologicalConnected Operators
Journal of Mathematical Imaging and Vision
Connected morphological operators for binary images
Computer Vision and Image Understanding
Shape Preservation in Morphological Filtering and Segmentation
SIBGRAPI '99 Proceedings of the XII Brazilian Symposium on Computer Graphics and Image Processing
Morphological Image Analysis: Principles and Applications
Morphological Image Analysis: Principles and Applications
Flat zones filtering, connected operators, and filters by reconstruction
IEEE Transactions on Image Processing
The Strong Property of Morphological Connected Alternated Filters
Journal of Mathematical Imaging and Vision
Adjacency stable connected operators and set levelings
Image and Vision Computing
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This paper studies connectivity aspects that arise in image operators that process connected components of an input image. The focus is on morphological image analysis (i.e., on increasing image operators), and, in particular, on a robustness property satisfied by certain morphological filters that is denominated the strong-property. The behavior of alternating compositions of openings and closings will be investigated under certain assumptions, especially using a connected component preserving equation. A significant result is the finding that such an equation cannot guarantee the strong property of certain connected alternating filters. The class of openings and closings by reconstruction should therefore be defined to avoid such situations.