Browse > Article
http://dx.doi.org/10.3745/KTSDE.2017.6.6.321

Backlight Compensation by Using a Novel Region of Interest Extraction Method  

Seong, Joon Mo (한국교통대학교 컴퓨터정보공학과)
Lee, Seong Shin (한국교통대학교 컴퓨터정보공학과)
Lee, Songwook (한국교통대학교 컴퓨터정보공학과)
Publication Information
KIPS Transactions on Software and Data Engineering / v.6, no.6, 2017 , pp. 321-328 More about this Journal
Abstract
We have implemented a technique to correct the brightness, saturation, and contrast of an image according to the degree of light, and further compensate the backlight. Backlight compensation can be done automatically or manually. For manual backlight compensation, we have to select the region of interest (ROI). ROI can be selected by connecting the outline of the desired object. We make users select the region delicately with the new magnetic lasso tool. The previous lasso tool has a disadvantage that the start point and the end point must be connected. However, the proposed lasso tool has the advantage of selecting the region of interest without connecting the start point and the end point. We can automatically obtain various results of backlight compensation by adjusting the number of k-means clusters for texture extraction and the threshold value for binarization.
Keywords
Region of Interest; Backlight Compensation; Magnetic Lasso; Texture Extraction; K-Means Clustering;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
연도 인용수 순위
1 Dae-Geun Park, Kee-Hyon Park, Oh-Seol Kwon, and Yeong-Ho Ha, "Acquisition of efficient HDR image using estimation of dynamic range of scene in camera images with various exposures," Proceedings of IEEK Summer Conference, pp.233-234, 2007.
2 Dae-Young Hyun, Jun-Hee Heu, Chang-Su Kim, and Sang- Uk Lee, "Region-based backlight compensation algorithm for images and videos," IEEE(ICIP) Conference Publications, pp.3545-3546, 2010.
3 Lucas Bastos, Aura Conci, and P. Liatsis, "Automatic Texture Segmentation based on k-means Clustering and Co-occurrence Features," Proceedings of International Conference on Systems, Signal and Image Processing, pp.141-144, 2008.
4 Eric N. Mortensen, L. Jack Reese, and William A. Barrett, "Intelligent Selection Tools," IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp. 776-777, 2000.
5 Yeong-Geon Seo, Hee-Min Kim, and Sang-Bok Kim, "A Generation of ROI Mask and An Automatic Extraction of ROI Using Edge Distribution of JPEG2000 Image," Journal of Digital Contents Society, Vol.16, No.4, pp.583-593, 2015.   DOI
6 Jun-Gyn Park, Hye-Kyoung Jang, and Dae-Seong Kang, "Region of Interest (ROI) Studies Using a Sophisticated Face Recognition Algorithm," Proceedings of KIIT Summer Conference, pp.116-119, 2014.
7 Chiun-Li Chin and Chin-Teng Lin, "Detection and Compensation Algorithm for Backlight Images with Fuzzy Logic and Adaptive Compensation Curve," International Journal of Pattern Recognition and Artificial Intelligence, Vol.19, No.8, pp.1041-1057, 2005.   DOI
8 C. J. Lin and Y. C. Liu, "Image backlight compensation using neuro-fuzzy networks with immune particle swarm optimization," Expert Systems with Applications, Vol.36, No.3, pp.5212-5220, 2009.   DOI
9 Jiazhong Chen, Bingpeng Ma, Rong Li, Tao Xia, and Hua Cao, "Image Dimming Perceptual Model Based Pixel Compensation and Backlight Adjustment," Journal of Display Technology, Vol.11, No.9, pp.744-752, 2015.   DOI
10 Young-Tak Kim, Jae-Hyoung Yu, and Hern-Soo Hahn, "Retinex Algorithm Improvement for Color Compensation in Back-Light Image Efficently," Journal of the Korea Society of Computer and Information, Vol.16, pp.61-69, 2011.
11 Eric N. Mortensen, William A. Barrett, "Intelligent Scissors for Image Composition," Proceedings of the 22nd annual conference on Computer Graphics and Interactive Techniques, pp.192-194, 1995.
12 John Canny, "A Computational Approach to Edge Detection," IEEE Trans, Pattern Analysis and Machine Intelligence, Vol.PAMI-8, No.6, pp.679-697, 1986.   DOI
13 D. Walther, "Interactions of Visual Attention and Object Recognition: Computational Modeling, Algorithms, and Psychophysics," Dissertation, California Institute of Technology, 2006.
14 E. W. Dijkstra, "A Note on Two Problems in Connexion with Graphs," Numerische Mathematick 1, pp.269-271, 1959.   DOI