DISEASE DETECTION BY USING IMAGE PROCESSING (20150258)
Authors :
RUPALI MISAL
, V. S. KULKARNI
Abstracts : The analysis of malaria is based on novel Annular Ring
Ratio Method which is already implemented, tested
and validated in MATLAB. The method detects the
blood components such as the Red Blood Cells RBCs White Blood Cells WBCs and identifies the parasites
in the infected RBCs. Dengue fever is a viral disease
and it is a major issue in many developing countries,
including India. The main objective is to detect and
count platelet to diagnose Dengue Haemorrhagic Fever
this reduces labor intensive, time and cost. There is a
solution in hands of digital image processing to face
this challenge. Segmentation techniques and
morphological operation are applied to investigate the
number of platelets which is used to diagnose dengue
using the microscopic image of blood smear. The
platelet count is estimated using various Segmentation
techniques and morphological operations and with the
help of the platelets count dengue fever infection is
detected. One of the morphological operations called
flood fill is utilized to detect platelet with platelet size.
In many primary health care centers blood cell
counting is typically performed manually, which is
very difficult and requires expert lab technician. This
procedure needs a digital camera attached with
traditional magnifying microscope where the
advanced camera is associated with PC. The expense of
the proposed hardware is cost efficient.
Pages : 57-61
Downloads : 194
Publication Date : 2017-03-26
Modified Date : 2018-01-18
Cite/Export
RUPALI MISAL ,
V. S. KULKARNI ,
"DISEASE DETECTION BY USING IMAGE PROCESSING", JournalNX - A Multidisciplinary Peer Reviewed Journal, NCMTEE-2K17, ISSN : 2581-4230, Page No. 57-61