US 12,322,092 B2
Medical image processing method and apparatus, image processing method and apparatus, terminal and storage medium
Liang Wang, Shenzhen (CN); Hanbo Chen, Shenzhen (CN); Jiarui Sun, Shenzhen (CN); Yanchun Zhu, Shenzhen (CN); and Jianhua Yao, Shenzhen (CN)
Assigned to TENCENT TECHNOLOGY (SHENZHEN) COMPANY LIMITED, Shenzhen (CN)
Filed by TENCENT TECHNOLOGY (SHENZHEN) COMPANY LIMITED, Guangdong (CN)
Filed on Mar. 3, 2022, as Appl. No. 17/685,847.
Application 17/685,847 is a continuation of application No. PCT/CN2020/126063, filed on Nov. 3, 2020.
Claims priority of application No. 202010084678.8 (CN), filed on Feb. 10, 2020.
Prior Publication US 2022/0189017 A1, Jun. 16, 2022
Int. Cl. G06T 7/00 (2017.01); G06T 5/20 (2006.01); G06T 7/194 (2017.01)
CPC G06T 7/0012 (2013.01) [G06T 5/20 (2013.01); G06T 7/194 (2017.01); G06T 2207/10024 (2013.01); G06T 2207/20032 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/30024 (2013.01)] 18 Claims
OG exemplary drawing
 
1. A medical image processing method, executed by a server, comprising:
obtaining a to-be-processed medical image, the to-be-processed medical image being a color image comprising first image data, second image data, and third image data that respectively correspond to color information of different channels;
generating a difference image according to the first image data, the second image data, and the third image data;
performing binarization processing on the difference image to obtain a binarized image, a foreground region of the binarized image corresponding to a pathological tissue region of the to-be-processed medical image;
detecting a background region in the binarized image based on a flood algorithm, wherein the background region comprises a plurality of background pixels;
obtaining background pixels in a foreground region in the binarized image according to the binarized image and the background region in the binarized image, wherein the foreground region comprises a plurality of foreground pixels;
changing the background pixels in the foreground region in the binarized image to foreground pixels to obtain a hole filling image; and
performing median filtering processing on the hole filling image to obtain a result image, wherein a foreground region of the result image corresponds to the pathological tissue region of the to-be-processed medical image.