| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 534959 | Pattern Recognition Letters | 2009 | 8 Pages |
Abstract
We present an image segmentation system specifically targeted for oil sand ore size estimation. The system learns spectral and shape characteristics of training images of oil sand ore samples for image quality enhancement followed by segmentation of ore image shapes. The proposed segmentation has achieved superior accuracy over the current state of the art systems.
Keywords
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Vision and Pattern Recognition
Authors
Dipti Prasad Mukherjee, Yury Potapovich, Ilya Levner, Hong Zhang,