Analysis of histogram based contrast Enhancement with noise reduction method for endodontic therapy

Radiographic imaging is essential in diagnosis, treatment planning and follow-up in endodontic. The new 3D imaging technologies like cone-beam computed tomography (CBCT) that are available in dental practice shows great promise in this field as it makes possible the extraction of the dental root canal shape information. CBCT reduces the radiation exposed on patient due this image quality is low contrast. Hence, image processing techniques are robust and acceptable technique that can be used to improve the quality of image to assist dentist for diagnosis. In the proposed paper, a study was carried out to enhance the dental images for root canal teeth by adaptive histogram equalization and impulse noise is reduced by using median filtering technique. Then filtered image is passed through the homomorphic filter to improve the image illumination. The results are verified in terms of peak signal to noise ratio (PSNR) and entropy of image.