Proceedings ArticleDOI
Segmentation Of Range Images Using Morphological Operators
Prabir Kumar Biswas,S.S. Biswas,A.K. Roy,B.N. Chatterji +3 more
- Vol. 3, pp 338-343
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TLDR
An algorithm for segmentation of range images using the digitisable operations of morphology is presented, where the range image is segmented into planar primitives based on their orientations.Abstract:
In this paper we present an algorithm for segmentation of range images using the digitisable operations of morphology. The range image is segmented into planar primitives based on their orientations. The concept of Neighborhood Plane Sets (NPS) introduced by Mukherjee et al [10] has been used. The NPS proposed in [ 10] has been augmented by considering four more orientations. A straightforward technique for the extraction of NPS has been proposed. NPS extraction is followed by a smoothing step. The final segments are extracted using a particle marking scheme.read more
Citations
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Proceedings ArticleDOI
Multi-scale morphological volume segmentation and visualization
R. Huang,E. Lum,Kwan-Liu Ma +2 more
TL;DR: A new volume data visualization technique based on interactive segmentation rather than the traditional transfer-function based classification approach is introduced, which offers the user greater power in isolating and examining volumetric features of interest.
Journal ArticleDOI
Micro-computed tomographic and SEM study of porous bioceramics using an adaptive method based on the mathematical morphological operations.
M. Ezzahmouly,A. ELmoutaouakkil,M. Ed-dhahraouy,Hamza Khallok,A. Elouahli,Arnaud Mazurier,A. ElAlbani,Z. Hatim +7 more
TL;DR: The main objective of this study is to determine the microstructure, the morphological characteristics and classes of pores of the prepared hydroxyapatite bioceramic using an adaptive method based on the mathematical morphological operations.
Journal ArticleDOI
An SIMD algorithm for range image segmentation
TL;DR: A new parallel algorithm for 3D surface segmentation wherein the problem ofsurface segmentation is modelled as a quantization problem, which suitably avoids the computations of the differential properties of the surfaces or the surface fitting expressions which are used in most of the other existing techniques.
References
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Journal ArticleDOI
Segmentation through variable-order surface fitting
Paul J. Besl,Ramesh Jain +1 more
TL;DR: A piecewise-smooth surface model for image data that possesses surface coherence properties is used to develop an algorithm that simultaneously segments a large class of images into regions of arbitrary shape and approximates image data with bivariate functions so that it is possible to compute a complete, noiseless image reconstruction based on the extracted functions and regions.
Journal ArticleDOI
Invariant surface characteristics for 3D object recognition in range images
Paul J. Besl,Ramesh Jain +1 more
TL;DR: Experimental results for real and synthetic range images show the properties, usefulness, and importance of differential-geometric surface characteristics.
Journal ArticleDOI
Efficient 3-D Object Representations for Industrial Vision Systems
TL;DR: An algorithm based on region growing is investigated in terms of its efficiency in segmenting a set of points in 3-D space into planar faces based on information on the neighborhood structure of the points in the form of a spatial proximity graph.
Journal ArticleDOI
Fast segmentation of range imagery into planar regions
Russell W. Taylor,Massimo Savini +1 more
TL;DR: A technique for rapidly dividing surfaces in range imagery into regions satisfying a common homogeneity criterion is presented, a split-and-merge segmentation approach based on a 3-parameter planar surface description technique.