A realistic medical image segmentation of abnormal HIV in blood cells using morphological operations

Images are soft copies of real world objects. Image can be represented in the area of digital processing, which can be said as another reproduction of an object. Basically Segmentation is one of the processes of partitioning a digital image into multiple regions and extracting meaningful regions for...

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Bibliographic Details
Published in2016 International Conference on Inventive Computation Technologies (ICICT) Vol. 2; pp. 1 - 6
Main Authors Mageshwari, V., Aroquiaraj, I. Laurence, Dharani, T.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.08.2016
Subjects
Cell Segmentation
Gray-scale
Image reconstruction
Image segmentation
Maximum likelihood detection
Morphological operations
NAE
PSNR
Shape
Transforms
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Summary:Images are soft copies of real world objects. Image can be represented in the area of digital processing, which can be said as another reproduction of an object. Basically Segmentation is one of the processes of partitioning a digital image into multiple regions and extracting meaningful regions for the future image analysis. The prime objective of this research work is to segment the abnormal HIV cells in blood using morphological operations. The boundary region of the HIV cells in blood is detected and segmented using different morphological operations. Finally Image Quality Assessment(IQA) has been carried out using various evaluation measures.
DOI:10.1109/INVENTIVE.2016.7824805