Patent ID: 11972561
Assignee: CANON U.S.A., INC.
Field: Computer technology (Electrical engineering)
Classification: CPC A  G | IPC G

Claim 7:
8. The device of claim 1, wherein one or more of the following:
(i) the one or more processors further operate to apply image or frame segmentation by (a) applying automatic thresholding to the A-line(s), image, images, or frame(s), (b) smoothing the segmented A-line(s), image, images, or frame(s) by deleting the objects of a predetermined or set size that correspond to image or frame artifacts, and (c) separating the A-line(s), image, images, or frame(s) into the three or more equal parts;
(ii) the one or more processors further operate to apply image or frame segmentation by (a) applying automatic thresholding to the A-line(s), image, images, or frame(s), (b) smoothing the segmented A-line(s), image, images, or frame(s) by deleting the objects of a predetermined or set size that correspond to image or frame artifacts, and (c) separating the A-line(s), image, images, or frame(s) into the three or more equal parts, and the automatic thresholding is Otsu's thresholding;
(iii) the one or more processors further operate to apply image or frame seqmentatiuon by (a) applying automatic thresholding to the A-line(s), image, images, or frame(s), (b) smoothing the segmented A-line(s), image, images, or frame(s) by deleting the objects of a predetermined or set size that correspond to image or frame artifacts, and (c) separating the A-line(s), image, images, or frame(s) into the three or more equal parts, the automatic thresholding is Otsu's thresholding, a threshold Throtsu for an image I is calculated using the Otsu's method, and the pixels of the image I that are smaller than Throtsu are set to zero value such that a binary image is generated having arterial wall and blood represented by non-zero objects; where the image I corresponds to the A-line(s), the image, the images, or the frame(s);
(iv) to determine whether non-zero objects corresponding to image or frame artifacts exist and to remove the non-zero objects corresponding to image or frame artifacts from a set of non-zero objects to be used for detecting a border, the one or more processors further operate to detect objects that are smaller than a predetermined area to ensure that only objects remaining in the set correspond to a wall area and are to be used or are used to detect the border;
(v) to determine whether non-zero objects corresponding to image or frame artifacts exist and to remove the non-zero objects corresponding to image or frame artifacts from a set of non-zero ojbects to be used for detecting a border, the one or more processors further operate to detect objects that are smaller than a predetermined area to ensure that only objects remaining in the set correspond to a wall area and are to be used or are used to detect the border, and the predetermined area is a whole catheter area or a probe area or is 3% of the whole image or frame; and/or
(vi) the one or more processors further operate to detect a larger object and delete the objects which are smaller than the larger object by a predetermined percentage, where the predetermined percentage is one or more of the following: 24%, 20%, 25%, 30%, any value in the range of about 10% to about 50%, any value in the range of 10% to 50%, any value in the range of about 20% to about 30%, and/or any value in the range of 20% to 30%.