RISS 검색 - 국내학술지논문 상세보기

다국어 초록 (Multilingual Abstract)

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.

목차 (Table of Contents)

Abstract
1. 서론
2. 본론
3. 결과
4. 결론

Abstract
1. 서론
2. 본론
3. 결과
4. 결론
감사의 글
참고문헌
저자소개

참고문헌 (Reference)

1 G. Hamarneh, "Watershed Segmentation Using Prior Shape and Appearance Knowledge" 27 : 59-68, 2009

2 J. Wang, "Specular reflection removal for human detection under aquatic environment" 2004

3 T. H. Stehle, "Specular Reflection Removal in Endoscopic Images" 2006

4 M. Yamazaki, "Separating Reflections from Images Using Kernel Independent Component Analysis" 194-197, 2006

5 R. S. Wright, Jr., "OpenGL Superbible: The Complete Guide to OpenGL Programming for Windows NT and Windows 98" Waite Group Press 1996

6 P. Maragos, "Mathematical Morphology and its Applications to Image and Signal Processing" Springer 1996

7 Y. Zhao, "Improved Watershed Algorithm for Dowels Image Segmentation" 7644-7648, 2008

8 L. Fausett, "Fundamentals of Neural Network: Architectures, Algorithms, and Applications" Prentice Hall 1994

9 R. Gonzalez, "Digital Image Processing" Prentice Hall 2001

10 S. Tchoulack, "A Video Stream Processor for Real-time Detection and Correction of Specular Reflections in Endoscopic Images" 49-52, 2008