SSGAN: generative adversarial networks for the stroke segmentation of calligraphic characters.
Fukun BiJianhong HanYumeng TianYanping WangPublished in: Vis. Comput. (2022)
Keyphrases
- chinese characters
- segmentation algorithm
- image segmentation
- alphanumeric characters
- character segmentation
- level set
- segmentation accuracy
- medical images
- image analysis
- handwritten characters
- segmentation method
- network structure
- social networks
- character recognition
- shape prior
- region growing
- complex networks
- fully automatic
- energy function
- computer networks
- multi agent
- multiscale
- grey level
- background subtraction
- segmentation errors
- sketch recognition
- heterogeneous networks
- object segmentation
- deformable models
- generative model
- computer vision