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A Study on the Convergence Technique enhanced GrabCut Algorithm Using Color Histogram and modified Sharpening filter
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 Title & Authors
A Study on the Convergence Technique enhanced GrabCut Algorithm Using Color Histogram and modified Sharpening filter
Park, Jong-Hun; Lee, Gang-Seong; Lee, Sang-Hun;
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In this paper, we proposed image enhancement method using sharpening filter for improving the accuracy of object detection using the existing Grabcut algorithm. GrabCut algorithm is the excellent performance extracting an object within a rectangular window range, but it has the drawback of the inferior performance in image with no clear distinction between background and objects. So, in this paper, reinforcing the brightness and clarity through histogram equalization, and tightening the border of the object using the sharpening filter look better than that extracted result of existing GrabCut algorithm in a similar image of the object and the background. Based on improved Grabcut algorithm, it is possible to obtain an improved result in the image processing convergence technique of character recognition, real-time object tracking and so on.
Object Extraction;GrabCut;Sharpening Filter;Color Histogram;Convergence Technique;
 Cited by
Tea-Hoon Yoo, Snag-Hun Lee, "Generation Method of Depth Map based on Vanishing Line using Gabor Filter", Journal of the Korea Convergence Society, Vol. 3, No. 1, pp. 13-17, 2012.

Carsten Rother, Vladimir Kolmogorov, Andrew Blake, "'GrabCut': interactive foreground extraction using iterated graph cuts", ACM Transactions on Graphics(TOG), Vol. 23, pp. 309-314, 2004. crossref(new window)

Wang Rui, Peng Jinye, Che Liping, Hou Yuting, "Improved color image segmentation algorithm base on Grabcut", Applied Mechanics and Materials, Vol. 373-375, pp. 464-467, 2013. crossref(new window)

Zoran Zivkovic, "Improved Adaptive Gaussian Mixture Model for Background Subtraction", Proceedings of the 17th International Conference on Pattern Recognition, Vol. 2, pp. 28-31, 2004.

Ji-Hoon Kim, Young-Soo Park, Sang-Hoon Lee, "A Study of How to Improve Execution Speed of Grabcut Using GPGPU", Journal of Digital Convergence, Vol. 12, No. 11, pp. 379-386, 2014.

Siyang Hua, Ping Shi, "GrabCut colot image segmentation based on region of interest", International Congress on Image and Signal Processing(CISP), pp. 392-396, 2014.

Fan Sun, "Research and Improvement on An Interactive Segmentation Algorithm", Tianjin University of Technology, 2008.

Hong Ding, Xiaofeng Zhang, "Object Abstraction Algorithm with Fast Grabcut", Computer Engineering and Design, Vol 33, No. 4, pp. 1477-1481, 2012.

Yuelan Xin, "Superpixel-based Grabcut Color Image Segmentation", Computer Technology and Development, Vol. 23, No. 7, pp. 48-51. 2013.

Karthikeyan Vaiapury, Anil Aksay, Ebroul Izquierdo, "GraccutD: Improved Gravcut Using Depth Information", Proceedings of the 2010 ACM workshop on Surreal media and virtual cloning, pp. 57-62, 2010.

Y. Y. Boykov, M. P. Jolly, "Interactive graph cuts objects in N-D images", Computer Vision, ICCV2001, Vol. 1, pp. 105-112, 2001.

Onseok Lee, Mingi Kim, Seunghan Ha, "Interactive image segmentation for ultrasound vascular imaging", Journal of the Korea Convergence Society, KCS, Vol. 3, No. 4, pp. 15-21, 2012.

Y. Y. Boykov, V. Kolmogorov, "An Experimental Comparison of Min-Cut/Max-Flaw Algorithms for Energy Minimization in Vision", IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 26, No. 9, 2004.

Jong-Sen Lee, "Digital Image Enhancement and Noise Filtering by Use of Local Statistics", IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. PAMI-2, pp. 165-168, 1980. crossref(new window)

Choong-ho Shin, Shai-yeoung Jung, "An Enhancement of Medical Image Using Optimized High-Frequency Emphasis Filter", JKIICE, Vol. 17, No. 3, pp. 698-704, 2013.