An Efficient Hybrid Filtering Method for Noise and Artifacts Removal in Effective Medical Image Segmentation

Medical imaging technology is becoming a key element for accurate diagnosis in medical domain. Noise and artifacts are the biggest obstacles in processing the medical images.？ Medical image pre-processing is a challenging task in the Computer-aided Diagnostic systems. It is very significant, particularly in tumor region segmentation and identification. The exact tumor segmentation is possible if the image is preprocessed accurately. In this paper, we propose a novel Hybrid Filtering method by the combination of wavelet filtering and curvelet filtering technique to reduce the noise and artifacts in Computer Tomography images for effective segmentation.？ The performances of Hybrid filtering method is evaluated by using various quantitative measures. It has been found that the Hybrid filtering method performs well in terms of performance metrics, visual quality and also reduces the over segmentation in accurate tumor identification