Medical image compression using quad-tree fractals and segmentation

Khalili F., Celenk M., Akinlar M.

2013 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2013, at WORLDCOMP 2013, Nevada, United States Of America, 22 - 25 July 2013, vol.1, pp.118-122 identifier

  • Publication Type: Conference Paper / Full Text
  • Volume: 1
  • City: Nevada
  • Country: United States Of America
  • Page Numbers: pp.118-122
  • Keywords: Compression ratio, Fractal, Medical image compression, NMSE, Quad-tree
  • Bilecik Şeyh Edebali University Affiliated: Yes

Abstract

© 2013 CSREA Press. All rights reserved.In this paper, the possibility of using fractal compression on medical images is investigated. The utilized fractal method takes advantage of quad-tree partitioning and the results of fractal compression on x-ray images for different range size are presented. For making tradeoff between computational cost and compression accuracy, image segmentation is used and different range size assigned for each segments of image. The results show that applying larger range size for segments outside the region of interest reduce the computation time while the quality is still preserved.