Mathematical Morphology and Its Application to Signal and Image Processing

دسته بندی: سازمان و پردازش داده ها
ویرایش:  
نویسندگان: Soille P.,  Pesaresi M.,  Ouzounis G.K. (eds.)  
سری:  
 
ناشر:  
سال نشر:  
تعداد صفحات: 497 
زبان: English 
فرمت فایل : PDF (درصورت درخواست کاربر به PDF، EPUB یا AZW3 تبدیل می شود) 
حجم فایل: 11 مگابایت 

قیمت کتاب (تومان) : 50,000

Издательство Springer, 2011, -497 pp. This LNCS volume on Mathematical Morphology and Its Applications to Image and Signal Processing contains the full papers accepted for presentation at the 10th International Symposium on Mathematical Morphology (ISMM 2011), held in Intra, Italy, 6th–8th of July, 2011. ISMM is a biannual event bringing together researchers, students, and practitioners of Mathematical Morphology to present and discuss advances on topics ranging from new theoretical developments to novel applications, solving complex image analysis problems. ISMM was established as the main scientific event in the field and this anniversary edition marked the tenth successful organisation in the series that was initiated in 1993 in Barcelona.
The call for papers was answered with 49 submissions. Each submitted paper was peer-reviewed by three referees selected from the Programme Committee. Based on their reviews, a total of 39 papers were accepted for publication in this volume, 27 of which were selected for oral, and 12 for poster presentation. The final programme of ISMM 2011 was divided into nine thematic areas: theory, lattices and order, connectivity, image analysis, processing and segmentation, adaptive morphology, algorithms, remote sensing, visualisation, and applications.
The topic of special attention for ISMM 2011 was the adaptation of morphological methods for the analysis of geo-spatial data. It shaped the separate section on remote sensing consisting of five contributions, further backed by four papers on the topics of connectivity and algorithms. The symposium programme was enriched by the following three keynote lectures:
– Applications of Discrete Calculus in Computational Science by Leo Grady (Siemens Corporate Research);
– Morphological Profiles in Classification of Remote Sensing Imagery by J´on Atli Benediktsson (University of Iceland);
– Mathematical Morphology in Computer Graphics, Scientific Visualization and Visual Exploration by Jos B.T.M. Roerdink (University of Groningen).
ISMM 2011 was organised by the Institute for the Protection and Security of the Citizen (IPSC), of the European Commission’s Joint Research Centre in Ispra, Italy. The success of the event is attributed to the joint effort of many individuals. In particular, we wish to thank all the authors who accepted our invitation, the members of the Programme Committee for delivering thorough reviews of the submitted manuscripts, the invited speakers for offering three high-quality lectures, and the Session Chairs for running the symposium smoothly. We wish to acknowledge the IPSC (JRC) for supporting this event, and the hotel Il Chiostro, Intra, for facilitating the symposium and taking care of the organisation of the social event. Special thanks go to Ana-Maria Duta (IPSC) for assisting in organisational issues. All submitted material was managed by the online EasyChair conference management system. Theory.
Sparse Mathematical Morphology Using Non-negative Matrix Factorization.
Fuzzy Bipolar Mathematical Morphology: A General Algebraic Setting.
Image Decompositions and Transformations as Peaks and Wells.
Lattices and Order.
Grain Building Ordering.
Orders on Partial Partitions and Maximal Partitioning of Sets.
Connective Segmentation Generalized to Arbitrary Complete Lattices.
Connectivity.
Hyperconnections and Openings on Complete Lattices.
Toward a New Axiomatic for Hyper-Connections.
Preventing Chaining through Transitions While Favouring It within Homogeneous Regions.
Pattern Spectra from Partition Pyramids and Hierarchies.
Frequent and Dependent Connectivities.
Image Analysis, Processing, and Segmentation.
Stochastic Multiscale Segmentation Constrained by Image Content.
Pattern Recognition Using Morphological Class Distribution Functions and Classification Trees.
Object Descriptors Based on a List of Rectangles: Method and Algorithm.
Ultimate Opening and Gradual Transitions.
Spatio-temporal Quasi-Flat Zones for Morphological Video Segmentation.
Primitive and Grain Estimation Using Flexible Magnification for a Morphological Texture Model.
Geodesic Attributes Thinnings and Thickenings.
Adaptive Morphology.
Morphological Bilateral Filtering and Spatially-Variant Adaptive Structuring Functions.
General Adaptive Neighborhood Viscous Mathematical Morphology.
Spatially-Variant Structuring Elements Inspired by the Neurogeometry of the Visual Cortex.
Algorithms.
Towards a Parallel Topological Watershed: First Results.
Advances on Watershed Processing on GPU Architecture.
Incremental Algorithm for Hierarchical Minimum Spanning Forests and Saliency of Watershed Cuts.
Component-Hypertrees for Image Segmentation.
Fast Streaming Algorithm for 1-D Morphological Opening and Closing on 2-D Support.
Remote Sensing.
Hierarchical Analysis of Remote Sensing Data: Morphological Attribute Profiles and Binary Partition Trees.
Self-dual Attribute Profiles for the Analysis of Remote Sensing Images.
Concurrent Computation of Differential Morphological Profiles on Giga-Pixel Images.
Hierarchical Segmentation of Multiresolution Remote Sensing Images.
Mathematical Morphology for Vector Images Using Statistical Depth.
Visualisation.
Mathematical Morphology in Computer Graphics, Scientific Visualization and Visual Exploration.
Surface Reconstruction Using Power Watershed.
Voxel-Based Assessment of Printability of 3D Shapes.
A Comparison of Two Tree Representations for Data-Driven Volumetric Image Filtering.
Applications.
Optimal Path: Theory and Models for Vessel Segmentation.
Cytology Imaging Segmentation Using the Locally Constrained Watershed Transform.
Stochastic Modeling of a Glass Fiber Reinforced Polymer.
Segmentation of Cracks in Shale Rock.
Size and Spatial Distributions Characterization of Graphite Nodules Based on Connectivity by Dilations.
Topic Segmentation: Application of Mathematical Morphology to Textual Data.