Ultimate Opening Combined with Area Stability Applied to Urban Scenes

This paper explores the use of ultimate opening in urban analysis context. It demonstrates the efficiency of this approach for street level elevation images, derived from 3D point clouds acquired by terrestrial mobile mapping systems. An area-stability term is introduced in the residual definition, reducing the over-segmentation of the vegetation while preserving small significant regions.

[1]  Beatriz Marcotegui,et al.  Scene text localization based on the ultimate opening , 2007, ISMM.

[2]  Bruno Vallet,et al.  TerraMobilita/IQmulus Urban Point Cloud Classification Benchmark , 2014 .

[3]  Jiri Matas,et al.  Robust wide-baseline stereo from maximally stable extremal regions , 2004, Image Vis. Comput..

[4]  F. Goulette,et al.  An integrated on-board laser range sensing system for on-the-way city and road modelling , 2006 .

[5]  Andrés Serna,et al.  Semantic analysis of 3D point clouds from urban environments: ground, facades, urban objects and accessibility. (Analyse sémantique de nuages de points 3D dans le milieu urbain: sol, façades, objets urbain et accessibilité) , 2014 .

[6]  Andrés Serna,et al.  Segmentation of elongated objects using attribute profiles and area stability: Application to melanocyte segmentation in engineered skin , 2014, Pattern Recognit. Lett..

[7]  Serge Beucher,et al.  Use of watersheds in contour detection , 1979 .

[8]  Serge Beucher,et al.  Controlling the ultimate openings residues for a robust delineation of fragmented rocks , 2009 .

[9]  Beatriz Marcotegui,et al.  Ultimate Attribute Opening Segmentation with Shape Information , 2009, ISMM.

[10]  Bruno Vallet,et al.  TerraMobilita/iQmulus urban point cloud analysis benchmark , 2015, Comput. Graph..

[11]  Beatriz Marcotegui,et al.  Adaptive scene-text binarisation on images captured by smartphones , 2016, IET Image Process..

[12]  Jon Atli Benediktsson,et al.  A new approach for the morphological segmentation of high-resolution satellite imagery , 2001, IEEE Trans. Geosci. Remote. Sens..

[13]  J. Weber,et al.  Automatic Building Extraction in VHR Images Using Advanced Morphological Operators , 2007, 2007 Urban Remote Sensing Joint Event.

[14]  M. Pesaresi,et al.  The use of morphological profiles in classification of data from urban areas , 2001, IEEE/ISPRS Joint Workshop on Remote Sensing and Data Fusion over Urban Areas (Cat. No.01EX482).

[15]  Beatriz Marcotegui,et al.  Segmentation et Interprétation de Nuages de Points pour la Modélisation d'Environnements Urbains , 2009, ArXiv.

[16]  Jon Atli Benediktsson,et al.  Classification of Remote Sensing Optical and LiDAR Data Using Extended Attribute Profiles , 2012, IEEE Journal of Selected Topics in Signal Processing.

[17]  Domen Mongus,et al.  Ground and building extraction from LiDAR data based on differential morphological profiles and locally fitted surfaces , 2014 .

[18]  Jon Atli Benediktsson,et al.  Classification and feature extraction for remote sensing images from urban areas based on morphological transformations , 2003, IEEE Trans. Geosci. Remote. Sens..

[19]  Andrés Serna,et al.  Detection, segmentation and classification of 3D urban objects using mathematical morphology and supervised learning , 2014 .

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