Object-Guided Instance Segmentation for Biological Images.
Jingru YiHui TangPengxiang WuBo LiuDaniel J. HoeppnerDimitris N. MetaxasLianyi HanWei FanPublished in: CoRR (2019)
Keyphrases
- multiple objects
- segmentation method
- segmentation algorithm
- image regions
- image segments
- segmentation accuracy
- test images
- image analysis
- input image
- bounding box
- three dimensional
- pixel level
- image data
- spatial relationships
- segmentation errors
- object shape
- lighting conditions
- object segmentation
- edge detection
- fully automatic
- image features
- deformable objects
- segmented images
- d objects
- man made objects
- textural information
- adaptive thresholding
- object recognition
- ground truth
- accurate segmentation
- grey level
- pixel wise
- foreground and background
- image segmentation algorithms
- image segmentation
- intensity images
- target object
- multiple images
- image registration
- image database
- rigid body
- shape prior
- region growing
- object contours
- cell nuclei
- multiscale
- video sequences
- image retrieval
- geometric shapes
- global shape
- object regions
- figure ground segmentation
- image processing
- prostate segmentation
- automatically segmented
- detecting objects
- medical images
- level set
- active contours
- object models
- color histogram