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. 2019 Jun 13;20:326. doi: 10.1186/s12859-019-2926-y

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© The Author(s). 2019

Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

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Fig. 10 — Modified Circular Hough Transformation (CHT). a Original cryo-EM image from the KLH dataset. b Edge detection result that will be used later for CHT to detect the center of each circular object in the binary cryo-EM image from the Apoferritin dataset based on using canny edge detection. c Edge detection results that will be used later for CHT to detect the center of each circular object in the binary cryo-EM image from the Apoferritin dataset based on using the modified CHT based IBC clustering and boundary pixels list extraction (outline’s boundary pixel). d Edge detection result that will be used later for CHT to detect the center of each circular object in the binary cryo-EM image from the KLH dataset based on using canny edge detection. e Edge detection results that will be used later for CHT to detect the center of each circular object in the binary cryo-EM image from the KLH dataset based on using the modified CHT based IBC clustering and boundary pixels list extraction (outline’s boundary pixel)