Object-Guided Instance Segmentation for Biological Images.
Jingru YiHui TangPengxiang WuBo LiuDaniel J. HoeppnerDimitris N. MetaxasLianyi HanWei FanPublished in: AAAI (2020)
Keyphrases
- multiple objects
- image regions
- segmentation algorithm
- segmentation method
- bounding box
- image segments
- image analysis
- segmentation errors
- intensity images
- test images
- object shape
- image database
- segmented images
- object segmentation
- spatial relationships
- pixel level
- rigid body
- input image
- accurate segmentation
- image data
- object regions
- microscopy images
- robust segmentation
- target object
- textural information
- three dimensional
- d objects
- object recognition
- fully automatic
- segmentation accuracy
- edge detection
- image retrieval
- man made objects
- detecting objects
- deformable objects
- pixel wise
- region of interest
- grey level
- adaptive thresholding
- foreground and background
- image features
- lighting conditions
- ground truth
- region growing
- multiple images
- automatically segmented
- object tracking
- segmented regions
- cell nuclei
- global shape
- multiscale
- image segmentation algorithms
- energy function
- background pixels
- final segmentation
- image sequences
- image segmentation