Image Matching Based on Election Campaign Algorithm
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Summary
The edges are the primitives for matching, the grey values of the edges and the magnitude and direction of the edge gradient were figured out as the properties of theedge feature points according to the constraints for stereo matching.
- Type
- article
- Published
- 2016-09-24
- Cited by
- 1
- References
- 16
- Access
- Open access
- OpenAlex
- https://openalex.org/W2552654906
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:56360709
Keywords
Computer science, Matching (statistics), Artificial intelligence, Image (mathematics), Computer vision
References
- Features Stereo Matching Based on Fuzzy Logic
- Weighted central moments in pattern recognition
- Method for edge detection in images using fuzzy relation
- Election campaign optimization algorithm
- Topological clustering and its application for discarding wide-baseline mismatches
- Straight Line Extraction for Stereoimage Feature Matching
- Rotation-invariant pattern matching with color ring-projection
- Extraction of perceptually important colors and similarity measurement for image matching, retrieval and analysis
- A Similarity Metric for Edge Images
- Stereo Matching Using Global and Local Segmentation
- Stereo matching based on ant colony optimization algorithm
- Election-survey algorithm and its application in global optimization problem of function
- Verifying Election Campaign Optimization Algorithm by Several Benchmarking Functions
- A Progressive Edge-Based Stereo Correspondence Method
- InternationalJournalofComputerVision,36(1),3152(2000) c2000KluwerAcademicPublishers,Boston.ManufacturedinTheNetherlands.
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