Journal of Northeastern University Natural Science ›› 2016, Vol. 37 ›› Issue (7): 922-926.DOI: 10.12068/j.issn.1005-3026.2016.07.003

• Information & Control • Previous Articles     Next Articles

Enhancement Algorithms of Retinal Blood Vessels Based on Curvelet Conversion

ZHANG Shi, SHE Li-huang, GE Xin   

  1. School of Information Science & Engineering, Northeastern University, Shenyang 110819, China.
  • Received:2015-04-27 Revised:2015-04-27 Online:2016-07-15 Published:2016-07-13
  • Contact: SHE Li-huang
  • About author:-
  • Supported by:
    -

Abstract: In retinal vascular images, characteristic of image, such as low contrast, will interfere with the normal image segmentation. In allusion to the image characteristics of retinal blood vessels , an enhancement algorithms of retinal blood vessels was proposed based on improved curvelet conversion. Firstly, a preprocessing was performed with the green channel of retinal image, combined with the adaptive enhancement of transform coefficient to achieve the process. The improved morphological transformation was also used to suppress background and enhance the vessel image information with more brightness. With the comparison to other methods, the experiment result showed the validity and the values of the method in improving contrast and reducing noise.

Key words: retinal vascular, image enhancement, improved curvelet conversion, morphological transformation, preprocessing

CLC Number: