Segmentation and Counting of WBCs and RBCs from Microscopic Blood Sample Images
Author(s) -
Lata A. Bhavnani,
Udesang K. Jaliya,
Mahasweta J. Joshi
Publication year - 2016
Publication title -
international journal of image graphics and signal processing
Language(s) - English
Resource type - Journals
eISSN - 2074-9082
pISSN - 2074-9074
DOI - 10.5815/ijigsp.2016.11.05
Subject(s) - cell counting , segmentation , thresholding , counting process , artificial intelligence , computer science , sample (material) , blood smear , counting problem , blood cell , pattern recognition (psychology) , hough transform , otsu's method , computer vision , image segmentation , image processing , pathology , mathematics , image (mathematics) , medicine , statistics , cell , chromatography , biology , chemistry , algorithm , genetics , malaria , cell cycle , immunology
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