Evaluation of histogram equalization and contrast limited adaptive histogram equalization effect on image quality and fractal dimensions of digital periapical radiographs.
Mojdeh MehdizadehKioumars Tavakoli TaftiParisa SoltaniPublished in: Oral radiology (2022)
Employing CLAHE and HE algorithm via OpenCV python library improves the periapical image quality, which is more significant using the CLAHE algorithm. Moreover, applying CLAHE and HE reduces trabecular bone structure detection and FD values in periapical images, especially in HE.
Keyphrases
- image quality
- deep learning
- computed tomography
- contrast enhanced
- cone beam computed tomography
- bone mineral density
- machine learning
- dual energy
- diffusion weighted imaging
- cone beam
- magnetic resonance
- convolutional neural network
- magnetic resonance imaging
- postmenopausal women
- optical coherence tomography
- soft tissue
- quantum dots