Method, device and equipment for identifying and detecting macular region in fundus image

A device for identifying and detecting a macular region in a fundus image, comprising an image reading module, a first macular region positioning module, a second macular region positioning module, a macular region extraction module, and a macular region detection module, wherein

• the image reading module is configured to read a current fundus image to be positioned and detected;
• the first macular region positioning module is configured to detect a macular region in the fundus image using a target detection model;
• the second macular region positioning module is configured to detect an optic disk region in the fundus image when the macular region in the fundus image is not detected by the first macular region positioning module, and identify and position the macular region based on the detected optic disk region;
• the macular region extraction module is configured to extract a macular image corresponding to the macular region from the fundus image based on a positioning result of the macular region;
• and
• the macular region detection module is configured to perform multi-modal processing on the macular image, fuse images obtained by the multi-modal processing to obtain a fused image, and detect whether the macular region is qualified or not according to the fused image, wherein the second macular region positioning module comprises:
• a coordinate obtaining sub-module and a macular positioning sub-module;
• the coordinate obtaining sub-module is configured to obtain a central coordinate of the optic disk region;
• and
• the macular positioning sub-module is configured to obtain a central coordinate of the macular region according to the central coordinate of the optic disk region in combination with a multiple linear regression model, wherein when the macular positioning sub-module is configured to obtain the central coordinate of the macular region according to the central coordinate of the optic disk region in combination with the multiple linear regression model, based on a formula:
• Y=WX+B,
• the central coordinate of the macular region is calculated,
• wherein Y is the central coordinate of the macular region, X is the central coordinate of the optic disk region, and both W and B are matrix parameters;
• W and B are determined by a least square method;
• and the following matrix solving formula is used when W and B are determined by the least square method:
• [
• w
• ,
• B
• ]
• =
• (
• X
• 0
• T
• ⁢
• X
• 0
• )
• -
• 1
• ⁢
• X
• 0
• T
• ⁢
• Y
• 1
• ⁢
• X
• 0
• =
• [
• X
• 1
• ]
• 1
• ,
• wherein X0 is a matrix vector, consisting of a matrix vector X and a vector 1;
• and
• the macular region detection module is configured to fuse the images obtained by the multi-modal processing by image channel superposition to obtain the fused image.