Leveraging Pretrained Image Classifiers for Language-Based Segmentation.
David GolubRoberto Martín-MartínAhmed El-KishkySilvio SavaresePublished in: CoRR (2019)
Keyphrases
- segmentation method
- segmentation algorithm
- image segmentation
- image analysis
- multiscale
- grey level
- edge detection
- image data
- input image
- image pixels
- segmented images
- image content
- image regions
- pixel level
- region segmentation
- test images
- image features
- single image
- adaptive thresholding
- energy function
- segmentation errors
- berkeley segmentation dataset
- brain mr images
- image segments
- microscopic images
- gray value
- energy functional
- image segmentation algorithm
- segmentation accuracy
- image representation
- homogeneous regions
- watershed algorithm
- high resolution
- perceptual grouping
- low depth of field
- gray level images
- image classification
- image structure
- level set
- watershed segmentation
- support vector
- image retrieval
- discriminative classifiers
- foreground background separation
- watershed transformation
- active contours
- object recognition
- region growing
- shape prior
- microscopy images
- image segmentation algorithms
- object segmentation
- decision trees
- bounding box
- intensity images