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140122  eng 
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a 9781461304692

100 
1 

a Maragos, Petros
e [editor]

245 
0 
0 
a Mathematical Morphology and Its Applications to Image and Signal Processing
h Elektronische Ressource
c edited by Petros Maragos, Ronald W. Schafer, Muhammad Akmal Butt

250 


a 1st ed. 1996

260 


a New York, NY
b Springer US
c 1996, 1996

300 


a XII, 476 p
b online resource

505 
0 

a Geometrical and Topological Characterization of Cork Cells by Digital Image Analysis  Author Index

505 
0 

a Implementing Morphological Image Operators via Trained Neural Networks  Granulometries, Texture  Optimal and Adaptive Design of Reconstructive Granulometric Filters  Periodic Lines and Their Application to Granulometries  Local Grayscale Granulometries Based on Opening Trees  Integrating Size Information into Intensity Histogram  Probabilistic Model of Rough Surfaces Obtained by ElectroErosion  A Textural Analysis by Mathematical Morphology  Segmentation  Computation of Watersheds Based on Parallel Graph Algorithms  Segmentation Algorithm by Multicriteria Region Merging  Temporal Stability in Sequence Segmentation using the Watershed Algorithm  The Dynamics of Minima and Contours  A Morphological Interpolation Method for Mosaic Images  Image Sequence Analysis  Multivalued Morphology and its Application in Moving Object Segmentation and Tracking  Mathematical Morphology for Image Sequences using the Knowledge of Dynamics 

505 
0 

a Quadratic Structuring Functions in Mathematical Morphology  MRLFilters and their Adaptive Optimal Design for Image Processing  Weighted Composite OrderStatistics Filters: Optimal Morphological Pattern Recognition  Nonlinear Systems Related to Morphology  Links Between Mathematical Morphology, Rough Sets, Fuzzy Logic and Higher Order Neural Networks  GreyScale Soft Morphological Filter Optimization by Genetic Algorithms  Soft Morphological Operators Based on Nonlinear Lp Mean Operators  The Viterbi Optimal RunlengthConstrained Approximation Nonlinear Filter  Algorithms, Architectures  Recursive Morphology using Line Structuring Elements  A Morphological Algorithm for Linear Segment Detection  Toward the Optimal Decomposition of Arbitrarily Shaped Structuring Elements by Means of a Genetic Approach  A Data Dependent Architecture Based on Seeded Region Growing Strategy for Advanced Morphological Operators 

505 
0 

a Motion Picture Restoration Using Morphological Tools  Segmentationbased Morphological Interpolation of Partition Sequences  Learning, Document Analysis  Set Operations on Closed Intervals and their Applications to the Automatic Programming of MMach’s  Automatic Programming of MMach’s for OCR  Morphological Preprocessing and Binarization for OCR Systems  Adaptive Directional Morphology with Application to Document Analysis  Applications  Segmentation of 3D Pulmonary Trees Using Mathematical Morphology  Automatic 3Dimensional Segmentation of MR Brain Tissue using Filters by Reconstruction  Watershed Analysis and Relaxation Labelling: A Cooperative Approach for the Interpretation of CranialMR Images Using a Statistical Digital Atlas  Robust Extraction of AxonFibers from Largescale Electron Micrograph Mosaics  Strong Edge Features for Image Coding  Water Depth Determination using Mathematical Morphology 

505 
0 

a Theory  Metric Convexity in the Context of Mathematical Morphology  Support Function and Minkowski Addition of NonConvex Sets  Lattice Operators Underlying Dynamic Systems  Comparison of Multiscale Morphology Approaches: PDE Implemented via Curve Evolution versus Chamfer Distance Transforms  An AttributeBased Approach to Mathematical Morphology  SpatiallyVariant Mathematical Morphology: Minimal Basis Representation  The Generalized Tailor Problem  Discrete Random Functions: Modeling and Analysis Using Mathematical Morphology  Morphological Sampling of Random Closed Sets  Connectivity  Connectivity on complete lattices  Practical Extensions of Connected Operators  Region Adjacency Graphs and Connected Morphological Operators  Space Connectivity and TranslationInvariance  Filtering  Morphological Filters for Dummies  Alternating Sequential Filters by AdaptiveNeighborhood Structuring Functions 

653 


a Laser

653 


a Image processing / Digital techniques

653 


a Computer vision

653 


a Computer Vision

653 


a Computer Imaging, Vision, Pattern Recognition and Graphics

653 


a Signal, Speech and Image Processing

653 


a Algebra

653 


a Lasers

653 


a Order, Lattices, Ordered Algebraic Structures

653 


a Signal processing

700 
1 

a Schafer, Ronald W.
e [editor]

700 
1 

a Butt, Muhammad Akmal
e [editor]

041 
0 
7 
a eng
2 ISO 6392

989 


b SBA
a Springer Book Archives 2004

490 
0 

a Computational Imaging and Vision

028 
5 
0 
a 10.1007/9781461304692

856 
4 
0 
u https://doi.org/10.1007/9781461304692?nosfx=y
x Verlag
3 Volltext

082 
0 

a 006.37

520 


a Mathematical morphology (MM) is a powerful methodology for the quantitative analysis of geometrical structures. It consists of a broad and coherent collection of theoretical concepts, nonlinear signal operators, and algorithms aiming at extracting, from images or other geometrical objects, information related to their shape and size. Its mathematical origins stem from set theory, lattice algebra, and integral and stochastic geometry. MM was initiated in the late 1960s by G. Matheron and J. Serra at the Fontainebleau School of Mines in France. Originally it was applied to analyzing images from geological or biological specimens. However, its rich theoretical framework, algorithmic efficiency, easy implementability on special hardware, and suitability for many shape oriented problems have propelled its widespread diffusion and adoption by many academic and industry groups in many countries as one among the dominant image analysis methodologies. The purpose of Mathematical Morphology and its Applications to Image and Signal Processing is to provide the image analysis community with a sampling from the current developments in the theoretical (deterministic and stochastic) and computational aspects of MM and its applications to image and signal processing. The book consists of the papers presented at the ISMM'96 grouped into the following themes: Theory Connectivity Filtering Nonlinear System Related to Morphology Algorithms/Architectures Granulometries, Texture Segmentation Image Sequence Analysis Learning Document Analysis Applications
