公开(公告)号：US20190206052A1

公开(公告)日：2019-07-04

申请号：US16236366

申请日：2018-12-29

Applicant: SHENZHEN INSTITUTES OF ADVANCED TECHNOLOGY CHINESE ACADEMY OF SCIENCES

Inventor： Qingmao Hu ,  Liyilei Su ,  Xiaodong Zhang ,  Xianjun Fu

IPC: G06T7/00 ,  G06T7/13 ,  A61B6/00

Abstract: The present application relates to the technical field of image recognition, and provides a carpal segmentation and recognition method, including: performing threshold segmentation on a carpal region of interest on a child orthotopic wrist X-ray image based on an adaptive threshold segmentation manner of variable threshold segmentation windows, and extracting edge information of the carpal region of interest based on an edge detection manner; combining a binarized image obtained by performing the threshold segmentation with the extracted edge information to obtain an initial segmentation image; performing carpal recognition on the initial segmentation image by using a carpal anatomy priori model to obtain an initial recognition image including information of each carpal bone; and performing boundary optimization on the initial recognition image, and outputting a carpal recognition image obtained after the boundary optimization is performed.

公开(公告)号：US10818011B2

公开(公告)日：2020-10-27

申请号：US16236366

申请日：2018-12-29

Applicant: SHENZHEN INSTITUTES OF ADVANCED TECHNOLOGY CHINESE ACADEMY OF SCIENCES

Inventor： Qingmao Hu ,  Liyilei Su ,  Xiaodong Zhang ,  Xianjun Fu

IPC: G06T7/00 ,  G06T7/13 ,  A61B6/00 ,  G06T7/143 ,  G06T5/00 ,  G06T7/194 ,  G06T7/12 ,  G06T5/40 ,  G06T7/136

Abstract: The present application relates to the technical field of image recognition, and provides a carpal segmentation and recognition method, including: performing threshold segmentation on a carpal region of interest on a child orthotopic wrist X-ray image based on an adaptive threshold segmentation manner of variable threshold segmentation windows, and extracting edge information of the carpal region of interest based on an edge detection manner; combining a binarized image obtained by performing the threshold segmentation with the extracted edge information to obtain an initial segmentation image; performing carpal recognition on the initial segmentation image by using a carpal anatomy priori model to obtain an initial recognition image including information of each carpal bone; and performing boundary optimization on the initial recognition image, and outputting a carpal recognition image obtained after the boundary optimization is performed.