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Image determination method and device, equipment and storage medium

A determination method and image technology, applied in the field of image processing, can solve the problems of low extraction accuracy, the region of interest in the macular region is susceptible to light, and fundus damage, etc., and achieve the effect of improving the accuracy.

Active Publication Date: 2019-06-25
BAIDU ONLINE NETWORK TECH (BEIJIBG) CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] Embodiments of the present invention provide an image determination method, device, device, and storage medium, which can solve the problem of low extraction accuracy of the region of interest in the macular area because it is easily affected by light and fundus damage

Method used

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  • Image determination method and device, equipment and storage medium
  • Image determination method and device, equipment and storage medium

Examples

Experimental program
Comparison scheme
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Embodiment 1

[0028] figure 1 It is a flowchart of an image determination method provided by Embodiment 1 of the present invention. This method can be performed by the image determination device provided in the embodiment of the present invention, specifically including the following:

[0029] S101. Extract a first image region in an image to be processed.

[0030] Wherein, the image to be processed is a complete image, and the image includes at least two image regions. Since different image regions are affected by environmental factors and other factors, the difficulty of extraction is different, and the region with easier extraction difficulty is used as the first image region. Regions that are more difficult to extract are used as the second image region. Taking the image to be processed as an example of the fundus image, the image to be processed includes the optic disc image area and the macular area image area. Correspondingly, since the optic disc area is bright and not easily affe...

Embodiment 2

[0039] Figure 2A is a flow chart of an image determination method provided in Embodiment 2 of the present invention, Figure 2B It is a schematic diagram of a macular region image area provided by Embodiment 2 of the present invention. This embodiment is based on the first embodiment above, taking the image to be processed as a fundus image, the first image area as an optic disc image area, and the second image area as a macular area image area as an example, and provides a specific implementation manner. The method can be performed by the image determining device provided in the embodiment of the present invention, and the method can specifically include the following:

[0040] S201. Extract the video disc image area in the image to be processed.

[0041] Optionally, the fundus image is used as the input of the image extraction model to obtain the optic disc image area. Wherein, the image extraction model is based on a deep learning network, and is trained according to th...

Embodiment 3

[0052] image 3 It is a schematic structural diagram of an image determination device provided in Embodiment 3 of the present invention, which can execute the image determination method provided in any embodiment of the present invention, and has corresponding functional modules and beneficial effects for executing the method. Such as image 3 As shown, the device may include:

[0053] The first image area extraction module 31 is used to extract the first image area in the image to be processed;

[0054] The second characteristic parameter determination module 32 is configured to determine the characteristic parameters of the second image region in the image to be processed according to the characteristic parameters of the first image region;

[0055] The second image area determination module 33 is configured to determine the second image area in the image to be processed according to the characteristic parameters of the second image area.

[0056] On the basis of the abov...

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Abstract

The embodiment of the invention discloses an image determination method and device, equipment and a storage medium. The method comprises the steps of extracting a first image region in a to-be-processed image; Determining feature parameters of a second image region in the to-be-processed image according to the feature parameters of the first image region; And determining a second image area in theto-be-processed image according to the characteristic parameters of the second image area. According to the embodiment of the invention, the feature parameters of the second image region are indirectly determined according to the feature parameters of the first image region in the to-be-processed image; According to the scheme, the second image area in the to-be-processed image is further determined, the degrees of the different image areas influenced by the environmental factors are different, so that the recognition difficulty is different, the area difficult to recognize can be indirectlyrecognized through the area easy to recognize, and the image determination accuracy is improved.

Description

technical field [0001] Embodiments of the present invention relate to the technical field of image processing, and in particular, to an image determination method, device, device, and storage medium. Background technique [0002] The macular area is located in the center of the retina and is the most sensitive area of ​​vision. The cone cells responsible for vision and color vision are distributed in this area. Therefore, any lesion involving the macula will cause a significant decrease in central vision, dark vision, and deformation. In order to accurately and timely discover the lesions in the macular area, it is necessary to determine and extract the region of interest in the macular area. [0003] At present, the following two solutions are commonly used to extract the macular area of ​​interest: (1) use the image processing threshold method to locate the macular fovea, and then extract the macular area of ​​interest. (2) Locate the optic disc by the threshold method, t...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00G06T7/62G06T7/73
Inventor 孙钦佩杨叶辉王磊许言午黄艳
Owner BAIDU ONLINE NETWORK TECH (BEIJIBG) CO LTD