An image threholding approach based on cuckoo search algorithm and 2D maximum entropy.
Wei ZhaoZhiwei YeMingwei WangLie MaWei LiuPublished in: IDAACS (2015)
Keyphrases
- maximum entropy
- random fields
- search algorithm
- input image
- image features
- image classification
- maximum entropy principle
- image segmentation
- transformation based learning
- conditional random fields
- principle of maximum entropy
- segmentation method
- similarity measure
- markov models
- probabilistic logic
- computer vision
- maximum entropy model
- minimum cross entropy
- class specific
- bayesian framework
- image regions
- segmentation algorithm