Abstract
Quantification of sub cellular structures is necessary in understanding how cells function. This paper presents a segmentation algorithm for transmission electron microscopy images of insulin granule membranes from beta cells of rat islet of Langerhans. Granules are described as having a dense core and a surrounding halo. We use a mixed vector field convolution snake to segment the granule membranes. We also present a novel contribution to the convergence filter family, which uses an adjustable region of support. The filter is used to verify our segmentation. We calculate pixel error by comparing the membrane areas from our method with a manually defined ground truth. 1300 granules are used in our test and an average area difference of 7.54% is observed.
| Original language | English |
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| Title of host publication | 2012 Proceedings of the 20th European Signal Processing Conference (EUSIPCO 2012) |
| Publisher | Institute of Electrical and Electronics Engineers (IEEE) |
| Pages | 2228-2232 |
| Number of pages | 5 |
| ISBN (Print) | 9781467310680 |
| Publication status | Published - Jan 2013 |
| Event | 20th European Signal Processing Conference (EUSIPCO) - Bucharest, Romania Duration: 27 Aug 2012 → 31 Aug 2012 |
Publication series
| Name | Proceedings of the European Signal Processing Conference (EUSIPCO) |
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| Publisher | Institute of Electrical and Electronics Engineers (IEEE) |
| ISSN (Print) | 2076-1465 |
Conference
| Conference | 20th European Signal Processing Conference (EUSIPCO) |
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| Country/Territory | Romania |
| City | Bucharest |
| Period | 27/08/12 → 31/08/12 |