A Machine Learning Figure-ground Segmentation Method Based on Cooperative Game
碩士 === 國立清華大學 === 資訊工程學系 === 101 === Image segmentation is an important and challenging task in image processing, and it is widely discussed in recent years. The main goal of figure-ground image segmentation is to separate foreground objects from their background. But, it is not a simple task to d...
Main Authors: | Tsai, Nian-Ying, 蔡念穎 |
---|---|
Other Authors: | Chang, Long-Wen |
Format: | Others |
Language: | en_US |
Published: |
2013
|
Online Access: | http://ndltd.ncl.edu.tw/handle/21273851277203500688 |
Similar Items
-
Noise destroys feedback enhanced figure-ground segmentation but not feedforward figure-ground segmentation
by: August eRomeo, et al.
Published: (2012-07-01) -
SUPERPIXEL CUT FOR FIGURE-GROUND IMAGE SEGMENTATION
by: M. Ying Yang, et al.
Published: (2016-06-01) -
Unsupervised Figure-ground Segmentation using Edge Detection and Game-theoretical Graph-cut Approach
by: Hsiao, Yu-Min, et al.
Published: (2014) -
Figure-ground segmentation using multiple cues
by: Nordlund, Peter
Published: (1998) -
The Effects of Self-Regulated Reading Model on Autonomy and Reading Comprehension of Students with Learning Disabilities
by: Nian-Ying Tsai, et al.
Published: (2018)