Morphological methods in image and signal processing
Morphological methods in image and signal processing
Watersheds in Digital Spaces: An Efficient Algorithm Based on Immersion Simulations
IEEE Transactions on Pattern Analysis and Machine Intelligence
Morphological multiscale segmentation for image coding
Proceedings of of the IEEE winter workshop on Nonlinear digital signal processing
Theoretical aspects of morphological filters by reconstruction
Signal Processing
Locality and Adjacency Stability Constraints for MorphologicalConnected Operators
Journal of Mathematical Imaging and Vision
Computer and Robot Vision
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
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This paper studies the problem of detecting significant regions in medical image analysis. The solution of this non well-defined problem requires in general several criteria to attempt to measure the relevance of an input image features. Criteria properties are important in medical imaging in order to permit their application in a variety of situations. We adopt in this paper the morphological framework, which facilitates the study of the problem and, in addition, provides useful pre-processing and image analysis techniques.