Segmentation and classification of biological cell images by a multifractal approach.
Nadia LassouaouiLatifa HamamiA. ZerguerrasPublished in: Int. J. Intell. Syst. (2003)
Keyphrases
- microscopic images
- pigmented skin lesions
- image classification
- segmentation algorithm
- fractal analysis
- segmentation method
- microscopy images
- image analysis
- cell segmentation
- edge detection
- image data
- skin lesion
- segmentation errors
- fluorescence microscopy images
- ground truth
- input image
- image regions
- image features
- adaptive thresholding
- fractal dimension
- fully automatic
- microscope images
- segmented images
- automatically segmented
- cell nuclei
- white blood
- pixel level
- segmentation accuracy
- image retrieval
- grey level co occurrence matrix
- feature space
- white blood cells
- image segments
- accurate segmentation
- confocal images
- image registration
- level set
- test images
- image set
- texture classification
- object segmentation
- multiple objects
- biological systems
- grey level
- image segmentation algorithms
- phase contrast
- cell nucleus
- feature selection
- image segmentation