Automatic Blood Cell Counting using Morphological Image Processing operations.

Automatic Blood Cell Counting using Morphological Image Processing operations.
Author(s):
Mr.Pravin S.Bhusare, Prof.Sanjeev D.Bhosale
Keywords:
Blood sample images, Image Processing, morphological Operations.
Abstract
The estimation of RBC plays a crucial role in medical diagnosis and pathological study. The main objective of this system is to detect and estimate the number of red blood cells present in the blood smear sample image. The process is initiated by image acquisition and image enhancement process. Morphological operations are applied on the blood image followed by RBC counting and WBC counting. The primary goal of the proposed system is to detect and count all the blood cells and then count RBC including the overlapping ones in the blood smear image .
Article Details
Unique Paper ID: 148367 Publication Volume & Issue: Volume 6, Issue 1 Page(s): 448 - 451
Article Preview & Download

Share This Article

NCSEM 2024

National Conference on Sustainable Engineering and Management - 2024

Last Date: 15th March 2024

IJIRT.org enables door in research by providing high quality research articles in open access market.

Send us any query related to your research on editor@ijirt.org