• Rahul Vishnoi

As of late the image processing systems are utilized broadly in a few medical areas for improving prior location and treatment stages, in which the time factor is critical to find the illness in the patient as conceivable as quick, particularly in different cancer tumours, for example, the lung cancer. Lung cancer growth has been pulling in the consideration of medical and sciatic networks in the most recent years as a result of its high predominance aligned with the troublesome treatment. Measurements from 2008 demonstrate that lung cancer, all through world, is the one that assaults the best number of individuals. Early location of lung cancer is significant for fruitful treatment. There are scarcely any strategies accessible to recognize harmful cells. Here two techniques for segmentation, for example, thresholding and watershed are utilized to identify the cancer growth cell and too discover better methodology out of them. The primary preferred position of the PC tomography image having better clearness, low noise and bending.

Cancer Identification, Enhancement, Feature Extraction, Segmentation.

"Digital Image Processing Method for Cancer Cell Detection", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 9, page no.148-153, September-2018, Available :http://www.jetir.org/papers/JETIREY06031.pdf

"Digital Image Processing Method for Cancer Cell Detection", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 9, page no. pp148-153, September-2018, Available at : http://www.jetir.org/papers/JETIREY06031.pdf