26 February 2010 Glomeruli extraction by canny operator with a feedback strategy
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Proceedings Volume 7546, Second International Conference on Digital Image Processing; 75462M (2010); doi: 10.1117/12.853347
Event: Second International Conference on Digital Image Processing, 2010, Singapore, Singapore
Abstract
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.
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Jun Zhang, Jinglu Hu, Hong Zhu, "Glomeruli extraction by canny operator with a feedback strategy", Proc. SPIE 7546, Second International Conference on Digital Image Processing, 75462M (26 February 2010); doi: 10.1117/12.853347; https://doi.org/10.1117/12.853347
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KEYWORDS
Edge detection

Biopsy

Image segmentation

Tissues

Denoising

Target detection

Detection and tracking algorithms

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