Introduction to mathematical morphology
Computer Vision, Graphics, and Image Processing
Computer Vision, Graphics, and Image Processing
Image Analysis Using Mathematical Morphology
IEEE Transactions on Pattern Analysis and Machine Intelligence
Image Analysis and Mathematical Morphology
Image Analysis and Mathematical Morphology
Threshold Superposition in Morphological Image Analysis Systems
IEEE Transactions on Pattern Analysis and Machine Intelligence
Theoretical Aspects of Gray-Level Morphology
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Faster and Unifying Algorithm for Comparing Trees
COM '00 Proceedings of the 11th Annual Symposium on Combinatorial Pattern Matching
A massively parallel implementation of the watershed based on cellular automata
ASAP '97 Proceedings of the IEEE International Conference on Application-Specific Systems, Architectures and Processors
Fast Euclidean distance transformation in two scans using a 3 × 3 neighborhood
Computer Vision and Image Understanding
Geometric modeling and representation based on sweep mathematical morphology
Information Sciences—Informatics and Computer Science: An International Journal
Adaptive mathematical morphology for edge linking
Information Sciences—Informatics and Computer Science: An International Journal
A modified regulated morphological corner detector
Pattern Recognition Letters
Decomposition of binary morphological structuring elements based on genetic algorithms
Computer Vision and Image Understanding
Flat Morphology on Power Lattices
Journal of Mathematical Imaging and Vision
Information Sciences: an International Journal
Note: Decomposition of binary morphological structuring elements based on genetic algorithms
Computer Vision and Image Understanding
A system for rotational velocity computation from image sequences
Image and Vision Computing
An adjusted-purpose digital watermarking technique
Pattern Recognition
Decomposition of arbitrary gray-scale morphological structuring elements
Pattern Recognition
Image super-resolution by curve fitting in the threshold decomposition domain
Journal of Visual Communication and Image Representation
From Binary to Grey Scale Convex Hulls
Fundamenta Informaticae
Coloring based approach for matching unrooted and/or unordered trees
Pattern Recognition Letters
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Recently, a superposition property called threshold decomposition and another property called stacking were introduced and shown to apply successfully to gray-scale morphological operations. This property allows gray-scale signals to be decomposed into multiple binary signals. The signals are processed in parallel, and the results are combined to produce the desired gray-scale result. The authors present the threshold decomposition architecture and the stacking property that allows the implementation of this architecture. Gray-scale operations are decomposed into binary operations. This decomposition allows gray-scale morphological operations to be implemented using only logic gates in VLSI architectures that can significantly improve speed as well as give theoretical insight into the operations.