Images Sub-segmentation by Fuzzy and Possibilistic Clustering Algorithm.
Benjamín Ojeda-MagañaJoel Quintanilla-DomínguezRuben RuelasJosé Miguel Barrón-AdameLuis Enrique Barboza NiñoRafael Guzmán-CabreraDiego AndinaPublished in: Computación y Sistemas (2019)
Keyphrases
- segmentation algorithm
- segmentation method
- clustering algorithm
- image analysis
- edge detection
- fully automatic
- input image
- adaptive thresholding
- accurate segmentation
- image data
- segmented images
- microscopic images
- test images
- ground truth
- fuzzy sets
- object recognition
- segmentation accuracy
- pixel level
- fuzzy clustering
- segmentation errors
- three dimensional
- image database
- image features
- image regions
- unsupervised segmentation
- grey level
- image slices
- low depth of field
- segmented regions
- image segmentation algorithms
- tubular structures
- gray level images
- outdoor scenes
- image segmentation
- automatically segmented
- multiple objects
- image segments
- piece wise
- cell nuclei
- intensity images
- region growing
- skin lesion
- microscopy images
- membership functions
- watershed segmentation
- object segmentation
- level set
- positron emission tomography
- image registration
- k means
- image segmentation algorithm
- multiscale
- cardiac magnetic resonance
- low contrast