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The advancement in medical imaging modality has made it possible to produce many types of digital medical images. However, limited effort has been done so far to utilize these valuable resources towards understanding the abnormalities' characteristic that the images might have. This is due to time consuming and expensive medical experts' interpretation processes. A case study on dental images has...
Subjective evaluation of the abnormalities in dental images faces a few challenges such as low contrast. The problem arises due to the fix regulation of small X-ray dosage. Thus there are applications of image enhancement on the dental images and it is an acceptable technique to improve image quality and better diagnosis. Low contrast images could hinder the subjective evaluation and contribute to...
Medical images, such as dental radiographs, suffer of low contrasts and noise which make it difficult to identify disease characteristics. This work utilizes the variation of Adaptive Histogram Equalization (AHE) towards enhancing the intra-oral dental radiograph. The algorithms used are AHE, Contrast Limited Adaptive Histogram Equalization (CLAHE), Sharpening Adaptive Histogram, Equalization (SAHE),...
This study focuses on the identification of dental abnormalities in intra-oral dental radiographs. The abnormalities of interest are periapical radiolucency (PA), widen periodontal ligament space (widen PDLs) and Loss of Lamina Dura (Loss of LD). The intra-oral dental radiographs usually have poor image quality due to the acquisition processes as well as the low usage of x-ray dose. The poor image...
Image quality plays an important role in assisting dentists' diagnosis ability. However, noise that come from the nature of image acquisition processes degrades image quality in radiographs. Advancement in image processing has leads many researches toward the enhancement of medical images for more accurate medical expert interpretation. This paper discusses the implementation of a spatial domain enhancement...
Qualitative and quantitative evaluation is important in verifying the effectiveness in any enhancement techniques. The contrast enhancement of dental radiographs is common due to the nature of the intra-oral radiographs that sometimes suffer noises and lack of sufficient brightness. This work compares the qualitative evaluation of dentists to quantitative measurement of statistical values of contrast...
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