Machine Graphics & Vision International Journal
A decomposition scheme for 3D fuzzy objects based on fuzzy distance information
Pattern Recognition Letters
Computer Vision and Image Understanding
Hand radiograph image segmentation using a coarse-to-fine strategy
Pattern Recognition
Technical Section: O-Buffer based IFT watershed from markers for large medical datasets
Computers and Graphics
Aspects on the reverse fuzzy distance transform
Pattern Recognition Letters
Object segmentation within microscope images of palynofacies
Computers & Geosciences
A morphological image processing method for locating myosin filaments in muscle electron micrographs
Image and Vision Computing
Patient oriented and robust automatic liver segmentation for pre-evaluation of liver transplantation
Computers in Biology and Medicine
Watershed segmentation using prior shape and appearance knowledge
Image and Vision Computing
A hybrid model using genetic algorithm and neural network for classifying garment defects
Expert Systems with Applications: An International Journal
Morphological segmentation of binary patterns
Pattern Recognition Letters
Object density-based image segmentation and its applications in biomedical image analysis
Computer Methods and Programs in Biomedicine
Synergistic arc-weight estimation for interactive image segmentation using graphs
Computer Vision and Image Understanding
Computers in Biology and Medicine
Journal of Visual Communication and Image Representation
Digital Signal Processing
A robust approach for automatic detection and segmentation of cracks in underground pipeline images
Image and Vision Computing
Effective segmentation and classification for HCC biopsy images
Pattern Recognition
Ripe tomato extraction for a harvesting robotic system
SMC'09 Proceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics
TopoToolbox: A set of Matlab functions for topographic analysis
Environmental Modelling & Software
Semi-automatic video object segmentation using seeded region merging and bidirectional projection
Pattern Recognition Letters
Automatic segmentation of focused objects from images with low depth of field
Pattern Recognition Letters
Semi-supervised learning for text-line detection
Pattern Recognition Letters
Some links between extremum spanning forests, watersheds and min-cuts
Image and Vision Computing
Adjacency stable connected operators and set levelings
Image and Vision Computing
Identifying touching and overlapping chromosomes using the watershed transform and gradient paths
Pattern Recognition Letters
Computers and Electronics in Agriculture
Combining shape, texture and intensity features for cell nuclei extraction in Pap smear images
Pattern Recognition Letters
Engineering Applications of Artificial Intelligence
Multi scale Harris corner detector based on Differential Morphological Decomposition
Pattern Recognition Letters
Unimodal thresholding for Laplacian-based Canny-Deriche filter
Pattern Recognition Letters
Morphological contrast index based on the Weber's law
International Journal of Imaging Systems and Technology
Connections for sets and functions
Fundamenta Informaticae
Horizon Profile Detection for Attitude Determination
Journal of Intelligent and Robotic Systems
Segmentation of clustered nuclei based on curvature weighting
Proceedings of the 27th Conference on Image and Vision Computing New Zealand
On directionality in morphological feature extraction
ICCVG'12 Proceedings of the 2012 international conference on Computer Vision and Graphics
Artificial neural networks applied to statistical design of window operators
Pattern Recognition Letters
Journal of Visual Communication and Image Representation
Pose Depth Volume extraction from RGB-D streams for frontal gait recognition
Journal of Visual Communication and Image Representation
A marker-based watershed method for X-ray image segmentation
Computer Methods and Programs in Biomedicine
Hi-index | 0.02 |
Two different formal definitions of gray-scale reconstruction are presented. The use of gray-scale reconstruction in various image processing applications discussed to illustrate the usefulness of this transformation for image filtering and segmentation tasks. The standard parallel and sequential approaches to reconstruction are reviewed. It is shown that their common drawback is their inefficiency on conventional computers. To improve this situation, an algorithm that is based on the notion of regional maxima and makes use of breadth-first image scannings implemented using a queue of pixels is introduced. Its combination with the sequential technique results in a hybrid gray-scale reconstruction algorithm which is an order of magnitude faster than any previously known algorithm