An Image Processing Application for the Localization and Segmentation of Lymphoblast Cell Using Peripheral Blood Images.
Hayan T. MadhloomSameem Abdul KareemHany AriffinPublished in: J. Medical Syst. (2012)
Keyphrases
- image processing
- microscopic images
- image analysis
- edge detection
- segmentation method
- segmentation algorithm
- fluorescence microscopy images
- white blood cells
- image processing algorithms
- accurate localization
- microscopy images
- cell nuclei
- microscope images
- test images
- cell segmentation
- image database
- segmentation accuracy
- blood cells
- object recognition
- segmentation errors
- grey level
- white blood
- image segmentation
- image regions
- fully automatic
- input image
- pixel level
- ground truth
- accurate segmentation
- image retrieval
- adaptive thresholding
- segmented images
- pixel wise
- region growing
- three dimensional
- computer graphics
- computer vision
- image slices
- automatically segmented
- cell nucleus
- gel electrophoresis
- image segments
- image registration
- image features
- multiscale
- image restoration
- medical images
- multiple objects
- feature extraction
- object localization
- high resolution
- optic disc
- image data
- cancer cells
- tubular structures
- image segmentation algorithms
- segmentation scheme
- image sequences
- precise localization
- mathematical morphology
- color images
- medical imaging
- gray level
- low depth of field