Analysis and comparison of image enhancement techniques for the prediction of lung cancer

Presently, lung cancer is identified in 2.6 million people and resulted in 1.8 million deaths. It is the most common type of cancer occurring in men and women. Smoking and air pollution are the main reason for lung cancer. So there is a need for identifying the cancerous cells present in the early stages within a shorter period and provides proper solution. Research work aiming at Image enhancement technique which will help in the detection of lung cancer in the earlier stages. A new technique is proposed to overcome the drawbacks for image enhancement using Gabor Filters, Discrete Wavelet Transform (DWT), and Auto Enhancement Algorithm (AEA). In this article, X-ray lung images are considered and processed using various techniques-Gabor filter, DWT and AEA. For real time analysis, obtained results are comparable with standard values. Hence, this new technique using Gabor filter for Image Enhancement using can be used for immediate detection of cancerous cells in patients.