TY - GEN
T1 - Teeth Segmentation Using Gamma Adjustment and Transition Region Filter Based on Wavelet Method
AU - Arifin, Agus Zainal
AU - Syuhada, Fahmi
AU - Ni'mah, Ana Tsalitsatun
AU - Suryaningrum, Dwi Ari
AU - Indraswari, Rarasmaya
AU - Navastara, Dini Adni
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/10
Y1 - 2019/10
N2 - Segmentation in dental panoramic images is a challenge that must be examined. The characteristics of panoramic images that have low contrast conditions cause the results of segmentation to be not optimal. The decomposition carried out so far only focuses on two directions, namely vertical and horizontal. Decomposition should be carried out in all directions in order to get the optimal end result of segmentation. This paper proposes a segmentation method based on the Wavelet Transformation method for the decomposition process and combined with Gamma Adjustments and Transition Region Filters. Gamma Adjustment is applied to images before being processed by the Wavelet method. While filtering the transition Region is done on each sub-band Wavelet image based on the dominant angle orientation. Adjusting the Gamma value in Wavelet decomposition causes an increase in image contrast. While the screening area focuses on the morphology of the tooth object. The experimental results show Error Classification (ME) of 12% and Relative Area Error (RAE) 1.4%. The proposed method shows that the Gamma value applied to the Wavelet with the filter Region process on each sub-band causes an increase in image contrast so as to provide more optimal segmentation results.
AB - Segmentation in dental panoramic images is a challenge that must be examined. The characteristics of panoramic images that have low contrast conditions cause the results of segmentation to be not optimal. The decomposition carried out so far only focuses on two directions, namely vertical and horizontal. Decomposition should be carried out in all directions in order to get the optimal end result of segmentation. This paper proposes a segmentation method based on the Wavelet Transformation method for the decomposition process and combined with Gamma Adjustments and Transition Region Filters. Gamma Adjustment is applied to images before being processed by the Wavelet method. While filtering the transition Region is done on each sub-band Wavelet image based on the dominant angle orientation. Adjusting the Gamma value in Wavelet decomposition causes an increase in image contrast. While the screening area focuses on the morphology of the tooth object. The experimental results show Error Classification (ME) of 12% and Relative Area Error (RAE) 1.4%. The proposed method shows that the Gamma value applied to the Wavelet with the filter Region process on each sub-band causes an increase in image contrast so as to provide more optimal segmentation results.
KW - Angle Orientation
KW - Gamma
KW - Low Contrast
KW - Segmentation
KW - Transition Region Filter
KW - Wavelet
UR - http://www.scopus.com/inward/record.url?scp=85081051698&partnerID=8YFLogxK
U2 - 10.1109/ICIC47613.2019.8985725
DO - 10.1109/ICIC47613.2019.8985725
M3 - Conference contribution
AN - SCOPUS:85081051698
T3 - Proceedings of 2019 4th International Conference on Informatics and Computing, ICIC 2019
BT - Proceedings of 2019 4th International Conference on Informatics and Computing, ICIC 2019
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 4th International Conference on Informatics and Computing, ICIC 2019
Y2 - 23 October 2019 through 24 October 2019
ER -