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이성택(Seong-Taek Lee),김경섭(Kyeong-Seop Kim),윤태호(Tae-Ho Yoon),이정환(Jeong-Whan Lee),김기덕(Kee-Deog Kim),박원서(Wonse Park) 대한전기학회 2010 전기학회논문지 Vol.59 No.6
In this study, an efficient removal algorithm for specular reflections in a tooth color image is proposed to minimize the artefact interrupting color image segmentation. The pixel values of RGB color channels are initially reversed to emphasize the features in reflective regions, and then those regions are automatically detected by utilizing perceptron artificial neural network model and those prominent intensities are corrected by applying a smoothing spatial filter. After correcting specular reflection regions, multiple seeds in the tooth candidates are selected to find the regional minima and MCWA(Marker-Controlled Watershed Algorithm) is applied to delineate the individual tooth region in a CCD tooth color image. Therefore, the accuracy in segmentation for separating tooth regions can be drastically improved with removing specular reflections due to the illumination effect.
이성택(Seong-Taek Lee),김경섭(Kyeong-Seop Kim),윤태호(Tae-Ho Yoon) 대한전기학회 2010 전기학회논문지 Vol.59 No.1
In this study, we propose a novel method to segment an individual tooth region in a true color image. The difference of the intensity in RGB is initially extracted and subsequent morphological reconstruction is applied to minimize the spurious segmentation regions. Multiple seeds in the tooth regions are chosen by searching regional minima and a Sobel-mask edge operations is performed to apply MCWA(Marker-Controlled Watershed Algorithm). As the results of applying MCWA transform for our proposed tooth segmentation algorithm, the individual tooth region can be resolved in a CCD tooth color image.
이성택(Seong-Taek Lee),김경섭(Kyeong-Seop Kim),윤태호(Tae-Ho Yoon),김기덕(Kee-Deog Kim),박원서(Wonse Park) 대한전기학회 2009 전기학회논문지 Vol.58 No.6
In this study, we propose a novel color-image segmentation algorithm to discern the teeth region utilizing RG intensity and its relevant RGB histogram features with resolving the variations of its maximum intensity in terms of peaks and valleys. Tooth candidates in a CCD image are first extracted by applying RGB color multi-threshold levels and consequently the successive morphological image operations and a Sobel-mask edge processing are performed to resolve the teeth region and its contour.
Y 휘도 성분을 이용한 치아 영상의 경면 반사 자동 검출
이성택(Seong-Taek Lee),김경섭(Kyeong-Seop Kim),윤태호(Tae-Ho Yoon),이정환(Jeong-Whan Lee),김기덕(Kee-Deog Kim),박원서(Wonse Park) 대한전기학회 2010 정보 및 제어 심포지엄 논문집 Vol.2010 No.4
In this study, we propose a new method to detect specular reflections by utilizing luminance features in a tooth color image. Our proposed task includes Ⅰ) transform RGB color feature into YCbCr, Ⅱ) detect Y feature and analyze its histogram distribution to find the optimum threshold value to decide the reflective regions.