Glomeruli extraction by canny operator with a feedback strategy

Jun Zhang*, Jinglu Hu, Hong Zhu

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution


This paper proposes an edge detection method by Canny operator with a feedback strategy for glomeruli extraction. As we know, the effect of the Canny operator is determined by three parameters: high threshold, low threshold and standard deviation. To obtain the appropriate parameters for each image, Otsu method is used to set high and low thresholds of Canny operator firstly. And then, to select the optimal standard deviation, a feedback strategy is developed. After parameter selection, Canny operator is applied to our renal biopsy images and experimental results show that some samples can achieve successful extraction and the others result in the discontinuous edges of glomeruli. In the case of the latter, the endpoints in an image should be located and connected to form a whole edge of glomerulus. The experiments have produced the promising results for our samples.

Original languageEnglish
Title of host publication2nd International Conference on Digital Image Processing
Publication statusPublished - 2010
Event2nd International Conference on Digital Image Processing - Singapore, Singapore
Duration: 2010 Feb 262010 Feb 28

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
ISSN (Print)0277-786X


Conference2nd International Conference on Digital Image Processing


  • Canny operator
  • Edge detection
  • Glomeruli extraction
  • Parameter selection

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering


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