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Erschienen in:
2011 | OriginalPaper | Buchkapitel
The Performance of Compound Enhancement Algorithm on Abnormality Detection Analysis of Intra-oral Dental Radiograph Images
verfasst von : Siti Arpah Ahmad, Mohd Nasir Taib, NoorElaiza Abd Khalid, Rohana Ahmad, Haslina Taib
Erschienen in: Software Engineering and Computer Systems
Verlag: Springer Berlin Heidelberg
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Dentists look for abnormality in radiograph for determining any diseases that may appear at the apices of the teeth. However poor quality of the radiograph produces weak visual signal that may produce misleading interpretations. Hence the quality of radiograph influence dentists’ decision that reflects the success or failure of any suggested treatments. Thus this work aim 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 (CEA) 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