Segmentation of Carbon Nanotube Images Through an Artificial Neural Network.
María Celeste Ramírez TrujilloTeresa E. AlarcónOscar S. DalmauAdalberto Zamudio OjedaPublished in: MICAI (1) (2015)
Keyphrases
- segmentation algorithm
- segmentation method
- test images
- image analysis
- fully automatic
- microscopic images
- adaptive thresholding
- segmented images
- image regions
- ground truth
- piece wise
- image data
- image database
- three dimensional
- segmentation errors
- image segmentation
- grey level
- image classification
- edge detection
- image features
- pixel wise
- unsupervised segmentation
- accurate segmentation
- image segmentation algorithm
- segmentation accuracy
- pixel level
- region growing
- object recognition
- microscopy images
- image retrieval
- brain mr images
- tubular structures
- cardiac magnetic resonance
- bounding box
- image pixels
- automatic segmentation
- outdoor scenes
- intensity distribution
- image slices
- image segmentation algorithms
- automated segmentation
- multiple objects
- input image
- energy function
- image segments
- low depth of field
- segmented regions
- cell nuclei
- foreground and background
- complex background
- intensity images
- graph cuts
- image registration