Surface-Area-Based Attribute Filtering in 3D
ISMM '09 Proceedings of the 9th International Symposium on Mathematical Morphology and Its Application to Signal and Image Processing
Component-Trees and Multi-value Images: A Comparative Study
ISMM '09 Proceedings of the 9th International Symposium on Mathematical Morphology and Its Application to Signal and Image Processing
A document binarization method based on connected operators
Pattern Recognition Letters
Direction-adaptive grey-level morphology. application to 3D vascular brain imaging
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Robust extraction of urinary stones from CT data using attribute filters
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Evaluation of retinal vessel segmentation methods for microaneurysms detection
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Partition-induced connections and operators for pattern analysis
Pattern Recognition
Interactive segmentation based on component-trees
Pattern Recognition
Mathematical morphology in computer graphics, scientific visualization and visual exploration
ISMM'11 Proceedings of the 10th international conference on Mathematical morphology and its applications to image and signal processing
A comparison of two tree representations for data-driven volumetric image filtering
ISMM'11 Proceedings of the 10th international conference on Mathematical morphology and its applications to image and signal processing
Segmentation of cracks in shale rock
ISMM'11 Proceedings of the 10th international conference on Mathematical morphology and its applications to image and signal processing
Non-Compactness Attribute Filtering to Extract Retinal Blood Vessels in Fundus Images
International Journal of E-Health and Medical Communications
Component-Trees and Multivalued Images: Structural Properties
Journal of Mathematical Imaging and Vision
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The Max-Tree designed for morphological attribute filtering in image processing, is a data structure in which the nodes represent connected components for all threshold levels in a data set. Attribute filters compute some attribute describing the shape or size of each connected component and then decide which components to keep or to discard. In this paper, we augment the basic Max-Tree data structure such that interactive volumetric filtering and visualization becomes possible. We introduce extensions that allow (1) direct, splatting-based, volume rendering; (2) representation of the Max-Tree on graphics hardware; and (3) fast active cell selection for isosurface generation. In all three cases, we can use the Max-Tree representation for visualization directly, without needing to reconstruct the volumetric data explicitly. We show that both filtering and visualization can be performed at interactive frame rates, ranging between 2.4 and 32 frames per seconds. In contrast, a standard texture-based volume visualization method manages only between 0.5 and 1.8 frames per second. For isovalue browsing, the experimental results show that the performance is comparable to the performance of an interval tree, where our method has the advantage that both filter threshold browsing and isolevel browsing are fast. It is shown that the methods using graphics hardware can be extended to other connected filters.