Attribute Controlled Reconstruction and Adaptive Mathematical Morphology

In this paper we present a reconstruction method controlled by the evolution of attributes. The process begins from a marker, propagated over increasing quasi–flat zones. The evolution of several increasing and non–increasing attributes is studied in order to select the appropriate region. Additionally, the combination of attributes can be used in a straightforward way.

[1]  F. Meyer.  IMAGE SEGMENTATION BASED ON VISCOUS FLOODING SIMULATION , 2002 .

[2]  Jos B. T. M. Roerdink.  Adaptivity and group invariance in mathematical morphology , 2009, 2009 16th IEEE International Conference on Image Processing (ICIP).

[3]  Petros Maragos,et al.  Overview of adaptive morphology: Trends and perspectives , 2009, 2009 16th IEEE International Conference on Image Processing (ICIP).

[4]  Etienne Decencière,et al.  Image filtering using morphological amoebas , 2007, Image Vis. Comput..

[5]  Makoto Nagao,et al.  Region extraction and shape analysis in aerial photographs , 1979 .

[6]  Ronald Jones,et al.  Attribute Openings, Thinnings, and Granulometries , 1996, Comput. Vis. Image Underst..

[7]  Jean-Charles Pinoli,et al.  General Adaptive Neighborhood Mathematical Morphology , 2009, 2009 16th IEEE International Conference on Image Processing (ICIP).

[8]  Pierre Soille,et al.  Constrained connectivity for hierarchical image partitioning and simplification , 2008, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[9]  Pierre Soille,et al.  Adaptive Morphological Filtering Using Similarities Based on Geodesic Time , 2008, DGCI.

[10]  R M Rangayyan,et al.  Feature enhancement of film mammograms using fixed and adaptive neighborhoods. , 1984, Applied optics.

[11]  Xin He,et al.  Parallel Algorithms for Gray-Scale Digitized Picture Component Labeling on a Mesh-Connected Computer , 1994, J. Parallel Distributed Comput..

[12]  Jesús Angulo,et al.  Morphological Bilateral Filtering and Spatially-Variant Adaptive Structuring Functions , 2011, ISMM.

[13]  Christian Lantuéjoul,et al.  Geodesic methods in quantitative image analysis , 1984, Pattern Recognit..

[14]  Etienne Decencière,et al.  Region Growing Structuring Elements and New Operators Based on Their Shape , 2011 .

[15]  Jean Serra,et al.  Image Analysis and Mathematical Morphology , 1983 .

[16]  J. W. Modestino,et al.  Flat Zones Filtering, Connected Operators, and Filters by Reconstruction , 1995 .

[17]  Etienne Decencière,et al.  Geodesic Attributes Thinnings and Thickenings , 2011, ISMM.

[18]  Hugues Talbot,et al.  Efficient complete and incomplete path openings and closings , 2007, Image Vis. Comput..

[19]  David G. Stork,et al.  Pattern classification, 2nd Edition , 2000 .

[20]  Jean Paul Frédéric Serra,et al.  Connectivity on Complete Lattices , 1998, Journal of Mathematical Imaging and Vision.

[21]  G. Matheron.  Random Sets and Integral Geometry , 1976 .

[22]  M.H.F. Wilkinson,et al.  Connected operators , 2009, IEEE Signal Processing Magazine.

[23]  Beatriz Marcotegui,et al.  Point cloud segmentation towards urban ground modeling , 2009, 2009 Joint Urban Remote Sensing Event.

[24]  Jacques G. Verly,et al.  Adaptive mathematical morphology for range imagery , 1993, IEEE Trans. Image Process..

[25]  Jean Paul Frédéric Serra.  Viscous Lattices , 2005, Journal of Mathematical Imaging and Vision.

[26]  John I. Goutsias,et al.  Mathematical Morphology and its Applications to Image and Signal Processing , 2000, Computational Imaging and Vision.

[27]  Fernand Meyer,et al.  From connected operators to levelings , 1998 .

[28]  Philippe Salembier,et al.  Connected operators and pyramids , 1993, Optics & Photonics.

[29]  David G. Stork,et al.  Pattern Classification (2nd ed.) , 1999 .

[30]  Frank Y. Shih,et al.  Adaptive mathematical morphology for edge linking , 2004, Inf. Sci..

[31]  C. Lantuéjoul,et al.  On the use of the geodesic metric in image analysis , 1981 .

[32]  Jitendra Malik,et al.  Scale-Space and Edge Detection Using Anisotropic Diffusion , 1990, IEEE Trans. Pattern Anal. Mach. Intell..

[33]  J.-M. Blosseville,et al.  Traffic Spatial Measurements Using Video Image Processing , 1988, Other Conferences.