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Abnormal Lung Cells Detection using Watershed Algorithm
Ghosh A, Sam S.A,
Published in Diva Enterprises Private Limited
Volume: 11
Issue: 4
Pages: 1421 - 1424
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. © RJPT All right reserved.
About the journal
JournalResearch Journal of Pharmacy and Technology
PublisherDiva Enterprises Private Limited
Open AccessNo