Word association norms, mutual information, and lexicography
Computational Linguistics
Elements of information theory
Elements of information theory
Independent component analysis, a new concept?
Signal Processing - Special issue on higher order statistics
Alignment by Maximization of Mutual Information
International Journal of Computer Vision
Variational Methods for Multimodal Image Matching
International Journal of Computer Vision
Morphological Scale-Space Representation with Levelings
SCALE-SPACE '99 Proceedings of the Second International Conference on Scale-Space Theories in Computer Vision
Entropy and Multiscale Analysis: A New Feature Extraction Algorithm for Aerial Images
ICASSP '97 Proceedings of the 1997 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP '97) -Volume 4 - Volume 4
Pattern Classification (2nd Edition)
Pattern Classification (2nd Edition)
A Lattice Approach to Image Segmentation
Journal of Mathematical Imaging and Vision
International Journal of Computer Vision
A Metric Approach to Vector-Valued Image Segmentation
International Journal of Computer Vision
Information Theoretic Deformable Registration Using Local Image Information
International Journal of Computer Vision
Robust estimation and classification for functional data via projection-based depth notions
Computational Statistics
On Genuine Connectivity Relations Based on Logical Predicates
ICIAP '07 Proceedings of the 14th International Conference on Image Analysis and Processing
Mutual Information-Based 3D Object Tracking
International Journal of Computer Vision
Computational Statistics & Data Analysis
Constrained Connectivity for Hierarchical Image Decomposition and Simplification
IEEE Transactions on Pattern Analysis and Machine Intelligence
Partial Partitions, Partial Connections and Connective Segmentation
Journal of Mathematical Imaging and Vision
Constrained Connectivity and Transition Regions
ISMM '09 Proceedings of the 9th International Symposium on Mathematical Morphology and Its Application to Signal and Image Processing
International Journal of Computer Vision
Hubs in Space: Popular Nearest Neighbors in High-Dimensional Data
The Journal of Machine Learning Research
Preventing chaining through transitions while favouring it within homogeneous regions
ISMM'11 Proceedings of the 10th international conference on Mathematical morphology and its applications to image and signal processing
Pattern spectra from partition pyramids and hierarchies
ISMM'11 Proceedings of the 10th international conference on Mathematical morphology and its applications to image and signal processing
Frequent and dependent connectivities
ISMM'11 Proceedings of the 10th international conference on Mathematical morphology and its applications to image and signal processing
Mathematical morphology for vector images using statistical depth
ISMM'11 Proceedings of the 10th international conference on Mathematical morphology and its applications to image and signal processing
IEEE Transactions on Information Theory
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Connective segmentation based on the definition of a dissimilarity measure on pairs of adjacent pixels is an appealing framework to develop new hierarchical segmentation methods. Usually, the dissimilarity is fully determined by the intensity values of the considered pair of adjacent pixels, so that it is independent of the values of the other image pixels. In this paper, we explore dissimilarity measures depending on the overall image content encapsulated in its local mutual information and show its invariance to information preserving transforms. This is investigated in the framework of the connective segmentation and constrained connectivity paradigms and leads to the concept of dependent connectivities. An efficient probability estimator based on depth functions is proposed to handle multi-dimensional images. Experiments conducted on hyper-spectral and multi-angular remote sensing images highlight the robustness of the proposed approach.