CPC G06T 7/12 (2017.01) [G06F 18/243 (2023.01); G06T 7/0012 (2013.01); G06T 2207/10101 (2013.01); G06T 2207/20021 (2013.01); G06T 2207/30041 (2013.01); G06T 2207/30168 (2013.01)] | 20 Claims |
1. A method for segmenting images, the method comprising:
tessellating an image obtained from one of an image database and an imaging system into a plurality of sectors;
classifying each of the plurality of sectors by applying one or more pre-defined labels to each of the plurality of sectors, wherein the pre-defined labels indicate at least one of an image quality metric (IQM) and a metric of structure;
assigning each of the plurality of classified sectors an Image Quality Classification (IQC); and
identifying anchor sectors among the plurality of classified sectors, wherein identifying comprises:
applying the assigned IQC to identify columns across the image as candidates for initial segmentation;
using the assigned IQC along each column to identify rows of maximum probability of containing segmentable images; and
identifying an array of high-probability sectors to become anchor cells for initiating segmentation;
applying filtering and edge detection to identify target boundaries;
applying contouring across contiguous sectors and using the assigned IQC as a guide to complete segmentation of an edge between any two identified anchor sectors; and
smoothing across segmented regions to increase parametric second-order continuity.
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