Approach to the Caenorhabditis Elegans Segmentation from Its Microscopic Image.
Jiunn-Liang LinYung-Sheng ChenYi-Hao HuangAo-Lin HsuTai-Lang JongWen-Hsing HsuPublished in: SMC (2018)
Keyphrases
- image analysis
- segmentation method
- image segmentation
- segmentation algorithm
- grey level
- multiscale
- test images
- image regions
- single image
- image data
- image pixels
- foreground and background
- image content
- image representation
- energy function
- segmentation accuracy
- gray level images
- edge detection
- input image
- microscopic images
- segmented images
- multiple objects
- images of natural scenes
- joint segmentation
- watershed algorithm
- image features
- intensity images
- pixel level
- level set
- region segmentation
- energy functional
- brain mr images
- segmentation errors
- image edges
- watershed transform
- optimal segmentation
- watershed transformation
- gray value
- homogeneous regions
- foreground background separation
- computer vision
- pixel wise
- high resolution
- berkeley segmentation dataset
- caenorhabditis elegans
- perceptual grouping
- adaptive thresholding
- image classification
- color features
- image segments
- image retrieval
- object segmentation
- low depth of field
- image structure
- iris segmentation
- watershed segmentation
- image segmentation algorithms
- intensity variations
- image segmentation algorithm
- textured images
- image gradient
- medical images
- region of interest