ANALYSIS OF COMPOUND ENHANCEMENT ALGORITHMS (CEA) BASED ON ADAPTIVE HISTOGRAM EQUALIZATION (AHE) ON INTRA-ORAL DENTAL RADIOGRAPHS IMAGES

Abnormalities are the main interest of dentists in examining the radiographs for determining any diseases that may appear at the apices of the teeth. However poor quality radiograph produces weak visual signal that may produce misleading interpretations. Hence the quality of radiograph influence dentistsa€ decision that reflects the success or failure of any suggested treatments. Therefore this work intend to analyze the abnormality found in intra-oral dental radiographs by comparing the original images with images that had been enhanced using compound enhancement algorithms (CEM) namely Sharp Adaptive Histogram Equalization (SAHE) and Sharp Contrast adaptive histogram equalization (SCLAHE). Results show that SCLAHE enhanced images provide slight improvement, compared to the original images, in detecting widen periodontal ligament space abnormality.