Segmentation and classification of tuberculosis bacilli from ZN-stained sputum smear images.
Vishnu MakkapatiRavindra AgrawalRaviraja V. AcharyaPublished in: CASE (2009)
Keyphrases
- microscopic images
- segmentation algorithm
- pigmented skin lesions
- segmentation method
- image classification
- microscopy images
- cell nuclei
- image analysis
- image data
- input image
- test images
- edge detection
- image regions
- skin lesion
- textural features
- segmentation errors
- fully automatic
- accurate segmentation
- image features
- ground truth
- pixel classification
- adaptive thresholding
- unsupervised segmentation
- segmented images
- quantitative evaluation
- segmentation accuracy
- feature extraction
- gabor filters
- multiscale
- image segmentation
- image set
- feature space
- image retrieval
- grey level co occurrence matrix
- histopathological images
- automatically segmented
- tissue samples
- object recognition
- microscope images
- image registration
- medical images
- grey level
- object segmentation
- color images
- training set
- cancer diagnosis
- medical imaging
- digitized images
- region growing
- automatic segmentation