Learning With Fewer Images via Image Clustering: Application to Intravascular OCT Image Segmentation.
Chaitanya KolluruJuhwan LeeYazan GharaibehHiram G. BezerraDavid L. WilsonPublished in: IEEE Access (2021)
Keyphrases
- image segmentation
- input image
- image data
- segmentation method
- image collections
- image analysis
- image features
- test images
- segmentation algorithm
- image retrieval
- image classification
- segmented images
- adaptive thresholding
- original images
- greyscale images
- image regions
- edge detection
- unsupervised image segmentation
- region of interest
- pixel values
- image content
- sample images
- image segmentation algorithm
- image pixels
- microarray images
- lighting conditions
- image set
- image structure
- unlabeled images
- segmenting images
- berkeley segmentation dataset
- clustering algorithm
- image matching
- gray level
- similarity measure
- multiscale
- image segmentations
- single image
- superpixels
- image database
- region segmentation
- segmentation scheme
- spectral clustering
- image segmentation algorithms
- feature points
- segmented regions
- pixel level
- energy function
- image representation
- watershed transform
- graph cuts
- active contours
- labeled images
- image registration
- computer vision
- object detectors
- object segmentation
- object recognition
- image annotation