• Hitesh Pathak
• Manoj Kumar Pandey
• Jagandeep Kaur

Detection of any disease in its early stage helps in reducing the amount of death rate. Several medical areas are using image processing techniques for better visibility of output images. These techniques give improved image output so that detection and treatment can be easily done. In this paper, comparison between different preprocessing techniques and different segmentation techniques has been done for different CT scan images. Preprocessing techniques include median filter, gabor filter and wiener filter. Basically, these filters are used for noise removal. Segmentation techniques include thresholding and k-mean clustering. Segmentation is done to change the representation of an image into an image which is more meaningful and can be analyzed easily. The early detection of lung cancer disease is directly proportional to the survival rate of a person.

Median filter, Gabor filter, Wiener filter, Thresholding, K-mean clustering

"Study of Preprocessing and Segmentation Techniques of Lungs CT Images", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 5, page no.969-972, MAY-2018, Available :http://www.jetir.org/papers/JETIR1805580.pdf

"Study of Preprocessing and Segmentation Techniques of Lungs CT Images", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 5, page no. pp969-972, MAY-2018, Available at : http://www.jetir.org/papers/JETIR1805580.pdf