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Fig. 10 | BMC Bioinformatics

Fig. 10

From: AutoCryoPicker: an unsupervised learning approach for fully automated single particle picking in Cryo-EM images

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)

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BMC Bioinformatics

ISSN: 1471-2105

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