to improve automatic grain boundary detection and quantify geological images.
Michael A. DeVastoDyanna M. CzeckPrajukti BhattacharyyaPublished in: Comput. Geosci. (2012)
Keyphrases
- boundary detection
- berkeley segmentation dataset
- image features
- image classification
- image database
- image data
- input image
- three dimensional
- object detection and recognition
- image analysis
- fully automatic
- image retrieval
- edge detection
- image regions
- object recognition
- image annotation
- test images
- image registration
- image matching
- partial occlusion
- segmentation method
- automatic annotation
- image frames
- image segmentation
- image collections
- detection algorithm
- machine learning
- multiscale
- low level