Segmentation of Microscopic Image of Colorants Using U-Net Based Deep Convolutional Networks for Material Appearance Design.
Mari TsunomuraMasami ShishikuraToru IshiiRyo TakahashiNorimichi TsumuraPublished in: ICISP (2020)
Keyphrases
- image analysis
- image segmentation
- segmentation method
- segmentation algorithm
- appearance cues
- grey level
- image regions
- pixel wise
- multiscale
- adaptive thresholding
- bounding box
- image pixels
- single image
- input image
- image data
- segmentation accuracy
- outdoor scenes
- edge detection
- energy function
- image content
- test images
- image segmentation algorithm
- pixel level
- segmentation errors
- image classification
- high resolution
- medical images
- gray level images
- watershed segmentation
- camera viewpoint
- image representation
- image retrieval
- image features
- segmented images
- region growing
- object segmentation
- multiple objects
- object shape
- intensity distribution
- gray value
- segmented regions
- graph cuts
- microscope images
- image segments
- markov random field
- optimal segmentation
- target object