Leveraging Pretrained Image Classifiers for Language-Based Segmentation.
David GolubAhmed El-KishkyRoberto Martín-MartínPublished in: WACV (2020)
Keyphrases
- segmentation method
- segmentation algorithm
- image segmentation
- multiscale
- image analysis
- image regions
- input image
- pixel level
- image data
- grey level
- segmentation errors
- image classification
- image pixels
- single image
- image features
- image retrieval
- gray level images
- optimal segmentation
- edge detection
- energy function
- image content
- adaptive thresholding
- berkeley segmentation dataset
- segmented images
- brain mr images
- energy functional
- test images
- training data
- image segmentation algorithm
- microscopic images
- image segments
- region growing
- watershed algorithm
- medical images
- gray value
- homogeneous regions
- multiple objects
- support vector
- region segmentation
- segmentation accuracy
- perceptual grouping
- pixel wise
- foreground background separation
- watershed transformation
- active contours
- gray level
- intensity images
- bounding box
- feature selection
- low depth of field
- region merging
- foreground and background
- object segmentation
- image representation
- image processing