CHEST X-RAY ENHANCEMENT FOR THE PROPER EXTRACTION OF SUSPICIOUS LUNG NODULE

Abstract

CAD (Computer Aided Diagnosis) system can detect lung cancer only when the quality of the image is excellent. Certain enhancement techniques are employed to improve the quality of X-ray image. By using enhancement technique, CAD systems will able to detect even a small lung nodule from the noisy blurred X-ray images. Average mean filter and Medianfilter is used to remove noise (Gaussian and salt & pepper noise)from the image. Contrast stretching, histogram equalization,negativity, log transform and power law transformare used to improve the intensity and contrast related problem.High boost filtering is used for sharpening the details in the image. For segmentation, modified thresholding algorithm and morphological operationare used. In the present study, images from the JSRT database and the images which are collected from nearby local hospitals are used to test the performance of the algorithm