An Image Turing Test on Realistic Gastroscopy Images Generated by Using the Progressive Growing of Generative Adversarial Networks.
Keewon ShinJung Su LeeJi Young LeeHyunsu LeeJeongseok KimJeong-Sik ByeonHwoon-Yong JungDo Hoon KimNamkug KimPublished in: J. Digit. Imaging (2023)
Keyphrases
- input image
- image data
- image features
- test images
- image collections
- completely automated
- image retrieval
- original images
- image pixels
- image analysis
- image classification
- turing test
- image regions
- region of interest
- pixel values
- image content
- image set
- edge detection
- segmentation method
- image matching
- image database
- sample images
- feature points
- image structure
- contrast enhancement
- lighting conditions
- web images
- gray level
- ground truth
- automated segmentation
- secret image
- segmented images
- keypoints
- fully automated
- image segmentation
- image gradient
- segmentation algorithm
- multi agent
- image annotation
- artificial intelligence
- image representation
- multiscale
- image statistics
- visual features
- image registration
- fully automatic
- microscopy images
- single image
- high level