Object-Guided Instance Segmentation With Auxiliary Feature Refinement for Biological Images.
Jingru YiPengxiang WuHui TangBo LiuQiaoying HuangHui QuLianyi HanWei FanDaniel J. HoeppnerDimitris N. MetaxasPublished in: CoRR (2021)
Keyphrases
- multiple objects
- segmentation algorithm
- image regions
- segmentation method
- image features
- bounding box
- test images
- intensity images
- image segments
- pixel level
- image analysis
- region of interest
- image data
- geometric features
- geometrical features
- object segmentation
- edge detection
- segmentation accuracy
- segmented images
- textural information
- three dimensional
- man made objects
- image database
- lighting conditions
- segmentation errors
- image retrieval
- accurate segmentation
- medical images
- partial occlusion
- input image
- microscopy images
- adaptive thresholding
- image classification
- object regions
- ground truth
- image registration
- geometric shapes
- feature vectors
- robust segmentation
- object contours
- foreground and background
- object shape
- keypoints
- segmented regions
- superpixels
- image segmentation
- grey level
- d objects
- range images
- hole filling
- multiscale
- object shapes
- object recognition
- final segmentation
- background pixels
- moving objects
- detecting objects
- region growing
- spatial relationships
- pixel wise
- object models
- cell nuclei
- complex background
- global shape