Segmentation of Multicolor Fluorescence In-Situ Hybridization (M-FISH) image using an improved Fuzzy C-means clustering algorithm while incorporating both spatial and spectral information.
Jingyao LiDongdong LinYu-Ping WangPublished in: BIBM (2015)
Keyphrases
- spatial information
- image analysis
- gradient information
- segmentation algorithm
- spectral characteristics
- image segmentation
- multiscale
- spatial context
- spatial frequency
- image content
- segmentation method
- spatial arrangement
- input image
- image regions
- grey level
- computer vision
- boundary information
- image retrieval
- edge detection
- test images
- spatial relationships
- intensity images
- medical images
- high resolution
- image features
- neural network
- single image
- segmented images
- image data
- spatial location
- feature vectors
- remote sensing
- high dimensional
- microscope images