Earticle

초록

영어

Image Segmentation is to simplify and/or change the representation of an image into something that is more meaningful and easier to analyze. Pre-processing of the image makes it more clear and visible, while parallelizing of the algorithm optimizes the speed at which the image is processed. This paper presents the performance analysis of parallelizing the video frame segmentation using region growing technique on varying of processors. Region growing Technique is also classified as pixel-based image segmentation method since it involves the selection of initial seed points where determining of whether the pixel neighbors should be added to the region or not is done. The process is iteratively carried out and the region is correspondingly grown for each image. Video is divided into frames, which are passed to different cores. The processing of frames is carried out simultaneously in cores, hence parallelizing the technique. Time analysis for serial and parallel implementation is done. Analysis of time required for processing the frames on different number of cores is carried out.

목차

Abstract
 1. Introduction
 2. Methodology
  2.1 Region Growing Technique
  2.2 Implementation
 3. Results and Analysis
 4. Conclusion
 Acknowledgments
 References
 Appendix

키워드

저자

• Basavaraj Bagewadi [ Department of Information Science and Engineering ]
• Chaitra Jatti [ Department of Information Science and Engineering ]
• Richa Koregaonkar [ Department of Information Science and Engineering ]
• Soumyashree Somasagara [ Department of Information Science and Engineering ]
• Satyadhyan Chickerur [ Centre for High Performance Computing ]
• Pramit Mehta [ Collaborator, Centre for High Performance Computing B V Bhoomaraddi College of Engineering and Technology Hubli, Karnataka, India ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Control and Automation

• 간기

  월간

• pISSN

  2005-4297

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605