Segmentation of cell-level anomalies in electroluminescence images of photovoltaic modules.
Urtzi OtamendiIñigo MartinezMarco QuartulliIgor G. OlaizolaElisabeth VilesWerther CambarauPublished in: CoRR (2021)
Keyphrases
- microscopic images
- microscopy images
- segmentation algorithm
- cell segmentation
- segmentation method
- pixel level
- image analysis
- image database
- unsupervised segmentation
- ground truth
- microscope images
- edge detection
- accurate segmentation
- segmentation errors
- adaptive thresholding
- test images
- segmented images
- cell nuclei
- white blood
- automatically segmented
- segmentation accuracy
- fluorescence microscopy images
- image features
- three dimensional
- fully automatic
- low depth of field
- grey level
- image data
- image segmentation
- cell nucleus
- outdoor scenes
- image segmentation algorithms
- anomaly detection
- input image
- multiple objects
- pigmented skin lesions
- object recognition
- tubular structures
- image regions
- gray value
- multiscale
- image slices
- region growing
- intensity images
- automatic segmentation
- medical images
- piece wise
- level set
- mr images
- segmentation result
- white blood cells
- pixel wise
- confocal images
- object segmentation