Detection of Cancer using Contrast Stretching

In day-to-day life, cancer is becoming a very common reason for human death throughout the world. But we can save the life of a person if we detect it at a very early stage. The survival rate for cancer patients increases up to 40 to 50 percent if it gets detected at the earliest possible. A physical test is not only time consuming but also incurs huge cost to the patients. Therefore, the investigation through the software proves to be the most convenient way to get this process done. In this study, we have used pre-processing, image extraction, and image enhancement to considered image samples. We aim to detect cancer in different parts of the body by checking CT scans and MRI scan images. A non-linear filter, the median filter are employed for eliminating the noise from the raw photos in this investigation. Once the image is filtered from noise, the contrast stretching approach is applied, which simply increases the image’s contrast. This allows clinicians to quickly detect the existence of cancer on considered patient’s body. The performance evaluation of proposed method is done against the Clah filters based on number of criteria to prove its supremacy.