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Method and device for determining image optimization mode

An image and standard image technology, applied in the image field, can solve problems such as unconfigured image optimization methods, inapplicability, image clarity, and noise differences, etc., to achieve the effect of ensuring specificity, applicability, and high quality

Active Publication Date: 2022-02-11
BEIJING INSTITUTE OF GRAPHIC COMMUNICATION
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  • Abstract
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  • Claims
  • Application Information

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Problems solved by technology

[0002] Existing image collectors are not configured with a specific image optimization method, and the collected images are mostly processed using a uniformly compiled image optimization method. Because the images collected by different types of image collectors have different clarity and noise, etc. Again, the same set of image optimization methods does not apply to all types of frame grabbers

Method used

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  • Method and device for determining image optimization mode
  • Method and device for determining image optimization mode
  • Method and device for determining image optimization mode

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Embodiment 1

[0029] This embodiment provides a method for determining an image optimization method, refer to figure 1 A flow chart of a method for determining an image optimization method is shown, the method includes the following steps:

[0030] Step S102, acquiring image sample sets obtained by collecting target objects by image collectors of the same type;

[0031]Wherein, the above-mentioned image acquisition device of the same type can be the camera of the same model or / and configuration, also can be the same type equipment of the same acquisition mode such as B-ultrasound, and can also be the same image acquisition device; the above-mentioned target objects can be the same One object or the same part of different objects, such as liver organs of different human bodies, etc.;

[0032] Step S104, acquiring a standard image set of the target object;

[0033] Wherein, the images in the above-mentioned standard image set are images with annotation information; the images with annotatio...

Embodiment 2

[0075] This embodiment also provides a device for determining an image optimization method, refer to image 3 A schematic structural diagram of a device for determining an image optimization method is shown, the device includes:

[0076] The first acquiring module 302 is configured to acquire image sample sets obtained by acquiring the same type of image collectors to acquire the target object;

[0077] The second acquiring module 304 is configured to acquire a standard image set of the target object; wherein, the images in the standard image set are images with annotation information;

[0078] The optimization module 306 is used to optimize the image sample set sequentially by using the optimization methods of the pre-established optimization library to obtain the optimized sample set corresponding to each optimization method;

[0079] The training module 308 is used to select a training sample set from the optimization sample set corresponding to each optimization method, a...

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Abstract

The present invention provides a method and device for determining an image optimization mode, which relate to the field of image technology, and obtain an image sample set obtained by acquiring a target object and a standard image set of the target object obtained by the same image collector; using a pre-established optimization library The optimization method optimizes the image sample set in turn to obtain the optimized sample set; selects the training sample set from the optimized sample set corresponding to each optimization method, and trains the initial neural network model to obtain the neural network model corresponding to each optimization method; The standard image set calculates the accuracy rate of the neural network model corresponding to each optimization method; the optimization method corresponding to the neural network model with the highest accuracy rate is determined as the optimal image optimization method of the image collector. This method of optimizing image samples using different optimization methods and finding out the optimal image optimization method based on the neural network model ensures the specificity and applicability of the optimal image optimization method to the image collector.

Description

technical field [0001] The present invention relates to the field of image technology, in particular to a method and device for determining an image optimization mode. Background technique [0002] Existing image collectors are not configured with a specific image optimization method, and the collected images are mostly processed using a uniformly compiled image optimization method. Because the images collected by different types of image collectors have different clarity and noise, etc. Likewise, the same set of image optimization methods does not apply to all types of frame grabbers. Contents of the invention [0003] In view of this, the object of the present invention is to provide a method and device for determining an image optimization method, so as to alleviate the technical problem that the same set of image optimization methods is not applicable to all types of image collectors. [0004] In the first aspect, an embodiment of the present invention provides a meth...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T5/00
CPCG06T5/002G06T5/007G06T2207/20081G06T2207/20084
Inventor 廉玉生刘艳星范璟婷金杨魏先福胡晓婕刘瑜
Owner BEIJING INSTITUTE OF GRAPHIC COMMUNICATION
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