Computer Vision, Graphics, and Image Processing
Image Analysis Using Mathematical Morphology
IEEE Transactions on Pattern Analysis and Machine Intelligence
Image algebra techniques for parallel image processing
Journal of Parallel and Distributed Computing
Two-Dimensional Digital Signal Processing II: Transforms and Median Filters
Two-Dimensional Digital Signal Processing II: Transforms and Median Filters
Digital Picture Processing
Image Analysis and Mathematical Morphology
Image Analysis and Mathematical Morphology
Optimal Morphological Pattern Restoration from Noisy Binary Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
Theoretical Aspects of Gray-Level Morphology
IEEE Transactions on Pattern Analysis and Machine Intelligence
The Geometry of Basis Sets for Morphologic Closing
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence
Locality and Adjacency Stability Constraints for MorphologicalConnected Operators
Journal of Mathematical Imaging and Vision
Morphological Filtering as Template Matching
IEEE Transactions on Pattern Analysis and Machine Intelligence
Algorithms for the Decomposition of Gray-Scale Morphological Operations
IEEE Transactions on Pattern Analysis and Machine Intelligence
Optimal Structuring Elements for the Morphological Pattern Restoration of Binary Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
Image Manipulation Using M-filters in a Pyramidal Computer Model
IEEE Transactions on Pattern Analysis and Machine Intelligence
Image Pattern Recognition in Natural Environment Using Morphological Feature Extraction
Proceedings of the Joint IAPR International Workshops on Advances in Pattern Recognition
Lattice Image Processing: A Unification of Morphological and Fuzzy Algebraic Systems
Journal of Mathematical Imaging and Vision
A Bayes-Based Region-Growing Algorithm for Medical Image Segmentation
Computing in Science and Engineering
Convergence, continuity, and iteration in mathematical morphology
Journal of Visual Communication and Image Representation
Overview of adaptive morphology: trends and perspectives
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Adaptive mathematical morphology: a unified representation theory
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Group morphology with convolution algebras
Proceedings of the 14th ACM Symposium on Solid and Physical Modeling
Information Sciences: an International Journal
Expert Systems with Applications: An International Journal
A shift-invariant morphological system for software development cost estimation
Expert Systems with Applications: An International Journal
A class of hybrid morphological perceptrons with application in time series forecasting
Knowledge-Based Systems
An evolutionary approach to design dilation-erosion perceptrons for stock market indices forecasting
Proceedings of the 13th annual conference on Genetic and evolutionary computation
Non-commutative morphology: Shapes, filters, and convolutions
Computer Aided Geometric Design
Automatic region of interest generation for kidney ultrasound images
ACS'11 Proceedings of the 11th WSEAS international conference on Applied computer science
Hybrid morphological methodology for software development cost estimation
Expert Systems with Applications: An International Journal
Fundamenta Morphologicae Mathematicae
Fundamenta Informaticae
A Morphological-Rank-Linear evolutionary method for stock market prediction
Information Sciences: an International Journal
Evolutionary Learning Processes to Design the Dilation-Erosion Perceptron for Weather Forecasting
Neural Processing Letters
FPGA-based architecture for real time segmentation and denoising of HD video
Journal of Real-Time Image Processing
Hi-index | 0.15 |
A unifying theory for many concepts and operations encountered in or related to morphological image and signal analysis is presented. The unification requires a set-theoretic methodology, where signals are modeled as sets, systems (signal transformations) are viewed as set mappings, and translational-invariant systems are uniquely characterized by special collections of input signals. This approach leads to a general representation theory, in which any translation-invariant, increasing, upper semicontinuous system can be presented exactly as a minimal nonlinear superposition of morphological erosions or dilations. The theory is used to analyze some special cases of image/signal analysis systems, such as morphological filters, median and order-statistic filters, linear filters, and shape recognition transforms. Although the developed theory is algebraic, its prototype operations are well suited for shape analysis; hence, the results also apply to systems that extract information about the geometrical structure of signals.