公开(公告)号：US20240029387A1

公开(公告)日：2024-01-25

申请号：US18023973

申请日：2021-08-16

Applicant: ANKON TECHNOLOGIES CO., LTD

Inventor： Tingqi WANG ,  Fei GAO ,  Xiaodong DUAN ,  Xiaohua HOU ,  Xiaoping XIE ,  Xuelian XIANG

IPC: G06V10/10 ,  G06V10/82 ,  G06V10/764 ,  G06V10/77 ,  G06V10/26

CPC classification number: G06V10/16 ,  G06V10/82 ,  G06V10/764 ,  G06V10/7715 ,  G06V10/26 ,  G06V2201/03

Abstract: The present invention provides an image recognition method, an electronic device and a computer-readable storage medium. The method includes: segmenting an original image into a plurality of unit images having the same predetermined size; inputting the unit images into a pre-built neural network model to carry out processing, so as to correspondingly add a detection frame to a marker in each unit image to form a pre-detection unit image; stitching a plurality of pre-detection unit images into a pre-output image according to segmentation positions of each unit image in the original image; determining whether the markers selected in two adjacent detection frames in the pre-output image are the same marker; outputting the image with the detection frames until all the detection frames confirmed to have the same markers are all merged. The present invention can effectively recognize types and positions of the markers in the image.

公开(公告)号：US20230306589A1

公开(公告)日：2023-09-28

申请号：US18024215

申请日：2021-08-31

Applicant: ANKON TECHNOLOGIES CO., LTD

Inventor： Xiaohua HOU ,  Xiaoping XIE ,  Yu JIN ,  Tingqi WANG ,  Fei GAO ,  Xiaodong DUAN

IPC: G06T7/00 ,  G06T7/11 ,  G06T7/136 ,  G06T7/60

CPC classification number: G06T7/0012 ,  G06T7/11 ,  G06T7/136 ,  G06T7/60 ,  G06T2207/10116 ,  G06T2207/30092 ,  G06T2207/30204

Abstract: An automatic identification method and an identification system for a gastrointestinal marker are provided. The automatic identification method comprises the following steps: determining a suspected gastrointestinal marker region in an image; removing an overlapping suspected gastrointestinal marker region; and determining whether the suspected gastrointestinal marker region is part of the gastrointestinal marker. In the method, by means of processing and analyzing an image, positions of a gastrointestinal marker in the image can be automatically detected.