Commenced in January 2007
Paper Count: 30184
Performance of Compound Enhancement Algorithms on Dental Radiograph Images
Abstract:The purpose of this research is to compare the original intra-oral digital dental radiograph images with images that are enhanced using a combination of image processing algorithms. Intraoral digital dental radiograph images are often noisy, blur edges and low in contrast. A combination of sharpening and enhancement method are used to overcome these problems. Three types of proposed compound algorithms used are Sharp Adaptive Histogram Equalization (SAHE), Sharp Median Adaptive Histogram Equalization (SMAHE) and Sharp Contrast adaptive histogram equalization (SCLAHE). This paper presents an initial study of the perception of six dentists on the details of abnormal pathologies and improvement of image quality in ten intra-oral radiographs. The research focus on the detection of only three types of pathology which is periapical radiolucency, widen periodontal ligament space and loss of lamina dura. The overall result shows that SCLAHE-s slightly improve the appearance of dental abnormalities- over the original image and also outperform the other two proposed compound algorithms.
Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1331563Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 1390
 B.Kullendorff and M.Nilsson, "Diagnostic accuracy of direct digital dental radiograph for the detection of periapical bone lesions", Oral. Surg.Oral. Med. Oral. Pathol. Oral Radiol Endod, vol:82,pp:585-589, 1996
 M.Mehdizadeh and S.Dolatyar, "Study of Effect of Adaptive Histogram Equalization on Image Quality in Digital Preapical Image in Pre Apex Area", research Journal of Biological Science",pp: 922 - 924, vol: 4, issue: 8, 2009
 W.E.G.W.Alves,E.Ono,J.L.O.Tanaka,E.M.Filho,L.C.Moraes,M.E.L.Mor aes and J.C.M.Castilho, "Influence of image filters on the reproducibility of measurements of aveolar bone loss", Journal of Applied Oral Science, Vol. 4(6), pp: 415 - 420, 2006.
 N.M.Noor, N.E.A.Khalid M.H.Ali and A.D.A.Numpang,"Enhancement of Soft Tissue Lateral Neck Radiograph with Fish Bone Impaction Using Adaptive Histogram Equalization(AHE),The 2nd International Conference on Computer Research and Development,2010.
 N.R.S.Praveen, M.Phil, and M.Sathik, "Enhancement of Bone Fracture Images by Equalization Methods", International Conference on Computer Technology and Development",pp: 391-394, 2009.
 N.E.A.Khalid, N. E., Manaf, M., Aziz, M. E., & Ali, M. H. (2007, Nov. 25-28). CR images of metacarpel cortical edge detection-bone profile histogram approximation method. Intelligent and Advanced Systems,. ICIAS ,pp: 702-708, 2007
 T.Kitasaka, K.Mori, J.Hasegawa and J.Toriwaki,"A Method for Extraction of Bronchus Regions from 3D Chest X-ray CT Images by Analyzing Structural Features of the Bronchus",FORMA, Vol:17,No. 4, pp: 321- 338, 2002.
 H.Yoon,Y.Han, and H.Hahn,"Image Contrast Enhancement based on Sub-histogram Equalization Techniques without Over-equalization Noise", International Journal of Computer Science and Engineering 3:2,2009.
 P.Rahmati,G.Hamarneh, D.Nussbaum and A.Adler, " A New Preprocessing Filter for Digital Mammograms, Lecture Notesin Computer Science,vol: 6134, pp: 585-592, 2010.
 P.Jagatheeswari, S.S.Kumar and M.Rajaram, " A Novel Approach for Contrast Enhancement Based on Histogram Equalization Followed By Median Filter", ARPN Journal of Engineering and Applied Sciences, Vol. 4, No.7, 2009
 W.Zhiming and T.Jianhua, "A fast implementation of Adaptive Histogram Equalization", 8th International Conference on Signal Processing (ICSP), 2006
 O.E.Langland, R.P.Langlais and J.W.Preece, "Principles of Dental Imaging", Lippincott Williams & Wilkins, 2002.
 O.Molven, A.Halse, I.Fristad and M.Jankowski, " Periapical changes following root-canal treatment observed 20-27 years postoperatively", International Journal of Endodontic Research, vol: 35(9), pp: 784-90, 2002
 ImageJ , Image Processing and Analysis in Java official website http://rsbweb.nih.gov/ij/.
 Allen, B. Wilkinson M. Parallel Programming, Techniques and Applications Using Networked Workstations and Parallel Computers, Pearson,2005.
 J.Poulist and M.Aubin, "Contrast Limited Adaptive Histogram Equalization(CLAHE),http://radonc.ucsf.edu/research_group/jpouliot/Tu torial/HU/Lesson7.htm, accessed on 4th June 2010.
 E.Pisano et al,"Contrast Limites Adaptive Histogram Equalization Image Processing to Improve the Detection of Simulated Spiculations in Dense Mammograms", Journal of Digital Imaging",Vol 11, pp: 193-200, 1998