Segmentation of neuronal nuclei based on clump splitting and a two-step binarization of images.
Antonio LaTorreLidia Alonso-NanclaresSantiago MuelasJosé María Peña SánchezJavier DeFelipePublished in: Expert Syst. Appl. (2013)
Keyphrases
- microscopic images
- segmentation method
- segmentation algorithm
- microscopy images
- cell nuclei
- image analysis
- global thresholding
- adaptive thresholding
- input image
- segmentation errors
- segmentation accuracy
- edge detection
- image data
- segmented images
- image registration
- preprocessing stage
- accurate segmentation
- gray scale images
- grey level
- microscope images
- tubular structures
- multiple objects
- watershed transform
- image retrieval
- medical images
- image features
- automatic segmentation
- object segmentation
- fully automatic
- test images
- region growing
- automatically segmented
- image regions
- image slices
- infrared images
- pixel level
- image segmentation
- image segments
- quantitative evaluation
- confocal images
- circular hough transform
- pigmented skin lesions
- level set
- graph cuts
- gray level
- skin lesion
- image segmentation algorithms
- gray value
- low contrast