DESIGN AND DEVELOPMENT OF IMAGE PROCESSING TOOL FOR ENHANCING THE LUNG TUMOR MRI IMAGE

Manoj Yasaswi Vutukuru; T.V. Rajini Kanth; SS. Vutukuru

Volume : IX, Issue : VII, July - 2019

DESIGN AND DEVELOPMENT OF IMAGE PROCESSING TOOL FOR ENHANCING THE LUNG TUMOR MRI IMAGE

Manoj Yasaswi Vutukuru, T. V. Rajini Kanth, Ss. Vutukuru

Abstract :

Lung cancer tumors obliterate healthy tissues around them and metastasize to other organs. Early detection of these tumors holds the key in the survival of the patients with little or no recurrence. Image processing techniques enhance the quality of biomedical images of cancer tumors. In this paper, we designed and developed a tool to enhance the quality of MRI tumor image for its accurate detection by applying 16 image filters like Mean, Median, Gaussian etc using MATLAB. Their performance was validated using image comparison indices: mean square error (MSE), peak signal to noise ratio (PSNR) and structural similarity index (SSIM) values. Weiner filter efficiently enhanced the image quality compared to other filters based on MSE (1.24) and PSNR (47.22) values. Based on SSIM value (1) the average filter was found to be optimum. This tool can be utilized for real–time application in cancer diagnosis and treatment