Neural network segmentation of images from stained cucurbits leaves with colour symptoms of biotic and abiotic stresses.
Jaroslaw GoclawskiJoanna Sekulska-NalewajkoElzbieta KuzniakPublished in: Int. J. Appl. Math. Comput. Sci. (2012)
Keyphrases
- microscopic images
- neural network
- segmentation algorithm
- grey level
- microscopy images
- cell nuclei
- colour images
- image data
- segmentation method
- test images
- edge detection
- segmentation errors
- image regions
- accurate segmentation
- image analysis
- input image
- image database
- unsupervised segmentation
- segmentation accuracy
- pixel wise
- fully automatic
- colour space
- image retrieval
- microscope images
- low depth of field
- adaptive thresholding
- automatically segmented
- piece wise
- digitized images
- segmented images
- quantitative evaluation
- multiple objects
- image slices
- neural network is trained
- image segments
- image registration
- tubular structures
- automated detection
- automatic segmentation
- remote sensing
- image features
- multiscale
- image segmentation
- brain tumors
- ground truth
- level set
- medical imaging
- pixel level