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A Ceramic Crack Test Method Based on the Maximum Variance Ratio of Inter-Class and Intra-Class
- Source :
- Applied Mechanics and Materials. :372-376
- Publication Year :
- 2014
- Publisher :
- Trans Tech Publications, Ltd., 2014.
-
Abstract
- This paper presents a method for inter-class ceramic crack detection threshold than the maximum variance within the class-based segmentation. Ceramics crack detection methods are mainly obtained by ceramic image data, image pre-processing, image segmentation, feature extraction and object recognition constitutes five links. Experimental results show that the method can be detected quickly and accurately detect whether the standard ceramic.
- Subjects :
- Computer science
business.industry
Feature extraction
Cognitive neuroscience of visual object recognition
Pattern recognition
General Medicine
Test method
Variance (accounting)
Image segmentation
Image (mathematics)
visual_art
Statistics
visual_art.visual_art_medium
Segmentation
Ceramic
Artificial intelligence
business
Subjects
Details
- ISSN :
- 16627482
- Database :
- OpenAIRE
- Journal :
- Applied Mechanics and Materials
- Accession number :
- edsair.doi...........a94c44b305111fb4def4612de5629e29