• Hitesh Pathak
• Manoj Kumar Pandey
• Jagandeep Kaur

Treatment of lung cancer is successful only if it is detected in its early stage. The most interesting research area of researcher's is the detection of lung cancer in early stages as it helps in degrading the death rates. Since there is an immense distinction between technical and clinical research sectors, people are not aware about this disease. In technical research, image processing techniques are widely used to get the better output images. Images used in lung research areas are CT scan and MRI images. This proposed system has considered CT image as input and then this input is processed further using different techniques such as preprocessing, segmentation and feature extraction. In preprocessing, filters like median, gabor, wiener, Gaussian and anisotropic filters are used which give relatively better preprocessing output. Segmentation is the next step which is applied to the preprocessed image and it converts the representation of image into a more meaningful image. Thresholding, K-mean clustering and fuzzy C means are used as segmentation techniques. From the segmentation output, detection of lung cancer can be easily done. Feature extraction is the last essential step which gives area, perimeter, length of major axis and minor axis of the detected cancer nodules. Thus, survival rate of a person suffering from lung cancer is directly proportional to its early detection.

Median filter, Gabor filter, Wiener filter, Gaussian filter, Anisotropic filter, Thresholding, K-mean clustering, fuzzy c-mean and feature extraction.

"Detection and Feature Extraction of Cancer Nodules in Lung CT Image", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 5, page no.310-314, May-2018, Available :http://www.jetir.org/papers/JETIR1805651.pdf

"Detection and Feature Extraction of Cancer Nodules in Lung CT Image", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 5, page no. pp310-314, May-2018, Available at : http://www.jetir.org/papers/JETIR1805651.pdf