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Research Journal of Pharmacy and Technology
Year : 2018, Volume : 11, Issue : 4
First page : ( 1421) Last page : ( 1424)
Print ISSN : 0974-3618. Online ISSN : 0974-360X.
Article DOI : 10.5958/0974-360X.2018.00265.2

Abnormal Lung Cells Detection using Watershed Algorithm

Ghosh Arpita1,*, Sam Shalu Achamma1, Rao A. Nagaraja2

1M. Tech CSE, SCOPE, VIT University, Vellore, Tamil Nadu

2Associate Professor and HOD, SCOPE, VIT University, Vellore, Tamil Nadu

*Corresponding Author E-mail: arpig93@gmail.com

Online published on 24 July, 2018.


Cells mostly keep on changing on various kinds of medical factors. At initial stages, the identification of any abnormality or cancer in cell is more important. The increasing population somehow raised awareness for maintaining better health. Because of degrading quality of food, smoking habits and most importantly pollution of environment are the cause of cell damages or abnormalities of tissues among the people. So, for providing better medical treatment for abnormal cell diseases, it is better to identify the affected cell at its initial stage. For efficient analysis, it is also important to detect the affected cells at an initial stage. Thus, the patients will get the best solution for the diseases. Previously, researchers used various methods as for enhancing images such as Fast Fourier Transform method, Binarization for extracting images etc. Here, we are going to use watershed processing for segmentation which can easily detect abnormalities in cell quickly.



Cancer cell, Extraction, Image Enhancement, Watershed Processing, MATLAB.


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