Title
Interactive max-tree visualization tool for image processing and analysis
Abstract
The max-tree is a data structure that represents all possible upper thresholds of an image, it has been successfully used in many image processing and analysis applications. The max-tree corresponding to a natural image usually has thousands of nodes, which makes unpractical to build a comprehensive graphical representation of its complete structure. In this paper, we propose a methodology that allows to build an interactive max-tree graphical representation that permits the user to navigate through the max-tree nodes, to visualize its connected components and to create node subsets. Our representation displays a simplified max-tree, but it allows the user to access all max-tree nodes using the interactive features. To the best of our knowledge, this is the first work that proposes an interactive graphical representation of the max-tree. We depict the potential of our max-tree visualization tool for interactive segmentation, connected filtering, and collection of training samples.
Year
DOI
Venue
2015
10.1109/IPTA.2015.7367110
2015 International Conference on Image Processing Theory, Tools and Applications (IPTA)
Keywords
Field
DocType
max-tree visualization,interactive max-tree,connected filtering,interactive segmentation
Computer vision,Scale-space segmentation,Feature detection (computer vision),Computer science,Image texture,Visualization,Image processing,Image segmentation,Connected component,Artificial intelligence,Minimum spanning tree-based segmentation
Conference
ISSN
ISBN
Citations 
2154-512X
978-1-4799-8636-1
1
PageRank 
References 
Authors
0.35
16
5
Name
Order
Citations
PageRank
Luis A. Tavares110.35
Roberto Souza2729.78
Leticia Rittner38212.95
Rubens Campos Machado4503.17
Roberto de Alencar Lotufo557253.61