DocumentCode
3140159
Title
New Extinction Values from Efficient Construction and Analysis of Extended Attribute Component Tree
Author
Silva, Alexandre Gonçalves ; de Alencar Lotufo, Roberto
Author_Institution
Dept. de Cienc. da Comput., Univ. do Estado de Santa Catarina, Santa Catarina
fYear
2008
fDate
12-15 Oct. 2008
Firstpage
204
Lastpage
211
Abstract
A gray-level image can be interpreted as a topographical surface, and represented by a component tree, based on the inclusion relation of connected components obtained by threshold decomposition. Relations between plateaus, valleys or mountains of this relief are useful in computer vision systems. An important definition to characterize the topographical surface is the dynamics, introduced by Grimaud (1992), associated to each regional minimum. This concept has been extended, by Vachier and Meyer (1995), by the definition of extinction values associated to each extremum of the image. This paper proposes four new extinction values -- two based on the topology of the component tree: (i) number of descendants and (ii) sub-tree height; and two geometric: (iii) height and (iv) width of a level component bounding box. This paper describes efficient computation of these extinction values based on the incremental determination of attributes from the component tree construction in quasi-linear time, compares the computation time of the method and illustrates the usefulness of these new extinction values from real examples.
Keywords
computer vision; image segmentation; tree data structures; attributes incremental determination; component bounding box; computer vision systems; extended attribute component tree; extinction values; gray-level image; image extremum; quasi-linear time; sub-tree height; threshold decomposition; topographical surface; Computer vision; Filtering algorithms; Image segmentation; Information filtering; Information filters; Matched filters; Pixel; Surface morphology; Surface topography; Topology; component tree; dynamics; extinction values; max-tree;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Graphics and Image Processing, 2008. SIBGRAPI '08. XXI Brazilian Symposium on
Conference_Location
Campo Grande
ISSN
1530-1834
Print_ISBN
978-0-7695-3358-2
Type
conf
DOI
10.1109/SIBGRAPI.2008.8
Filename
4654161
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