Adaptive LCM Clahe to Enhance the Contrast of Brain Tumor Images

Abstract

The Detecting brain tumor by image capturing device such as X-rays, CT-scan and MRIs are in common use. Mostly MRI based imaging are not only costly but also time consuming. MRI has advantages that imaging of cancerous cells is possible from different angles.

In this paper, we have proposed a new pre-processing technique that may enhance the contrast of images to detect tumors effectively. In current method, we have used adaptive block size techniques and compared with existing technique as mean squared error (MSE), peak signal-to-noise ratio (PSNR), and structural similarity (SSIM). Our results shows a significant improvement as compared to existing techniques.