Preattentive processing in vision
Computer Vision, Graphics, and Image Processing
Towards general measures of comparison of objects
Fuzzy Sets and Systems - Special issue dedicated to the memory of Professor Arnold Kaufmann
Knowledge-based image understanding systems: a survey
Computer Vision and Image Understanding
A Model of Saliency-Based Visual Attention for Rapid Scene Analysis
IEEE Transactions on Pattern Analysis and Machine Intelligence
Fuzzy Relative Position Between Objects in Image Processing: A Morphological Approach
IEEE Transactions on Pattern Analysis and Machine Intelligence
Fuzzy Sets and Systems: Theory and Applications
Fuzzy Sets and Systems: Theory and Applications
Fuzzy morphisms between graphs
Fuzzy Sets and Systems
Multi-object Deformable Templates Dedicated to the Segmentation of Brain Deep Structures
MICCAI '98 Proceedings of the First International Conference on Medical Image Computing and Computer-Assisted Intervention
Robust Brain Segmentation Using Histogram Scale-Space Analysis and Mathematical Morphology
MICCAI '98 Proceedings of the First International Conference on Medical Image Computing and Computer-Assisted Intervention
A Metric for Distributions with Applications to Image Databases
ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
Artificial Intelligence - Special issue: Fuzzy set and possibility theory-based methods in artificial intelligence
Structure segmentation and recognition in images guided by structural constraint propagation
Proceedings of the 2008 conference on ECAI 2008: 18th European Conference on Artificial Intelligence
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Face recognition from 2D and 3D images using 3D Gabor filters
Image and Vision Computing
Fuzzy spatial relationships for image processing and interpretation: a review
Image and Vision Computing
Adaptive pyramid and semantic graph: knowledge driven segmentation
GbRPR'05 Proceedings of the 5th IAPR international conference on Graph-Based Representations in Pattern Recognition
Object extraction from T2 weighted brain MR image using histogram based gradient calculation
Pattern Recognition Letters
A constraint propagation approach to structural model based image segmentation and recognition
Information Sciences: an International Journal
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A sequential segmentation framework, where objects in an image are successively segmented, generally raises some questions about the ''best'' segmentation sequence to follow and/or how to avoid error propagation. In this work, we propose original approaches to answer these questions in the case where the objects to segment are represented by a model describing the spatial relations between objects. The process is guided by a criterion derived from visual attention, and more precisely from a saliency map, along with some spatial information to focus the attention. This criterion is used to optimize the segmentation sequence. Spatial knowledge is also used to ensure the consistency of the results and to allow backtracking on the segmentation order if needed. The proposed approach was applied for the segmentation of internal brain structures in magnetic resonance images. The results show the relevance of the optimization criteria and the interest of the backtracking procedure to guarantee good and consistent results.