Title :
A semi automatic algorithm based on morphology features for measuring of root canal length
Author :
Harandi, Azam Amini ; Pourghassem, Hossein
Author_Institution :
Dept. of Electr. Eng., Islamic Azad Univ., Isfahan, Iran
Abstract :
Automation measuring of root canal length is an important factor in diagnosis and treatment procedures. In this paper, a semi automatic algorithm based on morphological features for measuring the length of root canal in radiography images is proposed. In this algorithm, using the preliminary low-level image processing techniques such as histogram equalization, denoising, enhancement in spatial and frequency domains, image enhancement carried out on the dental radiography image. Then, morphological operations are used to extract the pulp of teeth in a radiography image. A perfect set of scanned dental radiography images that have been labelled by specialists are used to evaluate the proposed algorithm. The obtained results show effectiveness of the proposed algorithm in real conditions.
Keywords :
biomedical measurement; dentistry; diagnostic radiography; edge detection; feature extraction; image enhancement; length measurement; medical image processing; X-ray radiography; automatic root canal length measurement; dental radiography image; frequency domains; image enhancement; low-level image processing technique; morphology features; semiautomatic algorithm; spatial domains; teeth pulp extraction; Biomedical imaging; Dentistry; Image edge detection; Image segmentation; Irrigation; Noise reduction; Teeth; root canal-dental X-ray radiography-pulp of teeth — morphology features;
Conference_Titel :
Communication Software and Networks (ICCSN), 2011 IEEE 3rd International Conference on
Conference_Location :
Xi´an
Print_ISBN :
978-1-61284-485-5
DOI :
10.1109/ICCSN.2011.6014718
