On ordered weighted averaging aggregation operators in multicriteria decisionmaking
IEEE Transactions on Systems, Man and Cybernetics
ACM Computing Surveys (CSUR)
Mean Shift: A Robust Approach Toward Feature Space Analysis
IEEE Transactions on Pattern Analysis and Machine Intelligence
Understanding Digital Color
A Taxonomy and Evaluation of Dense Two-Frame Stereo Correspondence Algorithms
International Journal of Computer Vision
Learning and Feature Selection in Stereo Matching
IEEE Transactions on Pattern Analysis and Machine Intelligence
Yet Another Survey on Image Segmentation: Region and Boundary Information Integration
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part III
Pattern Classification (2nd Edition)
Pattern Classification (2nd Edition)
Combining Pattern Classifiers: Methods and Algorithms
Combining Pattern Classifiers: Methods and Algorithms
Digital Image Processing (3rd Edition)
Digital Image Processing (3rd Edition)
Segment-Based Stereo Matching Using Belief Propagation and a Self-Adapting Dissimilarity Measure
ICPR '06 Proceedings of the 18th International Conference on Pattern Recognition - Volume 03
Fuzzy Cognitive Maps for stereovision matching
Pattern Recognition
A novel edge detection method based on the maximizing objective function
Pattern Recognition
Pattern Recognition
On Combining Classifiers by Relaxation for Natural Textures in Images
HAIS '08 Proceedings of the 3rd international workshop on Hybrid Artificial Intelligence Systems
Soft clustering for nonparametric probability density function estimation
Pattern Recognition Letters
Image thresholding by variational minimax optimization
Pattern Recognition
A method based on rank-ordered filter to detect edges in cellular image
Pattern Recognition Letters
A Class of Algorithms for Fast Digital Image Registration
IEEE Transactions on Computers
Fuzzy multi-criteria decision making in stereovision matching for fish-eye lenses in forest analysis
IDEAL'09 Proceedings of the 10th international conference on Intelligent data engineering and automated learning
A Stereovision Sensor for Forest Inventories
SENSORDEVICES '10 Proceedings of the 2010 First International Conference on Sensor Device Technologies and Applications
Practical region-based matching for stereo vision
IWCIA'04 Proceedings of the 10th international conference on Combinatorial Image Analysis
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In this paper we describe a novel pixel-based strategy of segmentation and stereovision matching for obtaining disparity maps from hemispherical images captured with fish-eye lenses from forest environments. At a first segmentation stage, the method identifies textures of interest to be either matched or discarded and extracts six attributes of each pixel as features. This is achieved by applying both Otsu and fuzzy k-Means methods. It is a combination of strategies appropriately sequenced to automate the process and facilitate the matching. At a second stage, a stereovision matching process is designed based on the application of three stereovision matching constraints: epipolar, similarity, and uniqueness. The epipolar guides the process. The similarity and uniqueness are mapped through a decision making strategy based on a majority voting criterion. The main finding of this paper is the combination of strategies in the both stages. The method is compared against the usage of simple features and some existing similarity matching strategies using also combination.