Image Retrieval Method for Multiscale Objects from Optical Colonoscopy Images.
Hirokazu NosatoHidenori SakanashiEiichi TakahashiMasahiro MurakawaHiroshi AokiKen TakeuchiYasuo SuzukiPublished in: Int. J. Biomed. Imaging (2017)
Keyphrases
- retrieval method
- image retrieval
- retrieving images
- multiscale
- input image
- satellite cloud
- image regions
- image collections
- image pixels
- image data
- image features
- color histogram
- content based image
- image database
- edge detection
- image content
- test images
- visual appearance
- similarity matching
- image classification
- image representation
- bounding box
- sample images
- multiple objects
- object retrieval
- keypoints
- segmentation algorithm
- image search
- laplacian pyramid
- spatial relationships
- retrieval accuracy
- target object
- web images
- image segments
- image processing
- real world objects
- image matching
- pixel values
- image set
- segmentation method
- image annotation
- retrieval scheme
- image segmentation
- visual features
- cbir systems
- visual content
- low level features
- white light
- visual information
- eye tracking
- spatial information
- scale space
- relevance feedback
- d objects
- image fusion
- sift descriptors
- feature points
- low level
- multiresolution