Histogram equalization for class-identification of dental disease using digital radiography

Abstract

Digital radiography is the latest advancement in dental imaging. It is more comfortable in terms of technique and interpretation. Dynamic appearance of digital radiograph is supportive for image analysis and enhancements like image sharpening, coloring, contrast and density adjustments, depending on the diagnostic task. Histogram equalization is useful in images with backgrounds and foregrounds that are both bright or both dark. Equalization can lead to better views of bone structure in radiographic images, and to show details in over or under-exposed photographs. The objective of the paper is to study use of histogram equalization to enhance the digital radiographs for classifying various problems in dental care. © 2010 Springer-Verlag Berlin Heidelberg.