Image dynamic real-time analysis system and method based on artificial intelligence

A real-time analysis and artificial intelligence technology, applied in the field of image processing, can solve the problems of inability to dynamically analyze and process images, single texture features, etc., to achieve the best denoising effect and ensure reliability.

Active Publication Date: 2020-09-25
中联云港数据科技股份有限公司
View PDF3 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The traditional digital image analysis and processing technology is mainly to carry out conventional processing such as jade algae and feature extraction on the image, and can only perform a single feature extraction for the texture features of the image.
[0005] Through the above analysis, the problems and defects of the existing technology are: the existing technology cannot perform comprehensive dynamic analysis and processing on the image, and can only perform a single feature extraction for the texture features of the image.

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Image dynamic real-time analysis system and method based on artificial intelligence
  • Image dynamic real-time analysis system and method based on artificial intelligence
  • Image dynamic real-time analysis system and method based on artificial intelligence

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0089] The artificial intelligence-based image dynamic real-time analysis method provided by the embodiment of the present invention is as follows: figure 1 As shown, as a preferred embodiment, such as image 3 As shown, the method for denoising the acquired image data through the data preprocessing program provided by the embodiment of the present invention includes:

[0090] S201, converting the color image into a grayscale image, estimating the brightness background of the image by using an average value method, and subtracting it from the grayscale image to eliminate the influence of exposure and brightness differences.

[0091] S202, using a local rank operator to perform local rank transformation on the image under different parameter conditions, to obtain a positive local rank transformation and a negative local rank transformation of the image.

[0092] S203, adding the positive local rank transformation and the negative local rank transformation to obtain a statistic...

Embodiment 2

[0107] The artificial intelligence-based image dynamic real-time analysis method provided by the embodiment of the present invention is as follows: figure 1 As shown, as a preferred embodiment, such as Figure 4 As shown, the method for extracting, identifying and analyzing image features through the image data dynamic analysis module provided by the embodiment of the present invention includes:

[0108] S301, using the image data dynamic analysis module to extract multiple image features of the image data object, subject, scene, and content respectively by using the image feature extraction algorithm, and obtain the segmented image data.

[0109] S302. Use an image processing program to process the data including image objects, subjects, scenes, and content features, and multiple divided image data, to obtain different image processing results of objects, subjects, scenes, and contents.

[0110] S303, performing image fusion on the obtained image processing results of the ta...

Embodiment 3

[0118] The artificial intelligence-based image dynamic real-time analysis method provided by the embodiment of the present invention is as follows: figure 1 As shown, as a preferred embodiment, such as Figure 5 As shown, the method for constructing a scene model based on the obtained image theme and scene information through the scene model construction module provided by the embodiment of the present invention includes:

[0119] S401, using image subject and scene data and original image data.

[0120] S402. Perform surface support analysis on the original image data by using the classification line to obtain the surface to which each pixel belongs in the image, and divide the image according to the surface to which the pixel belongs, so as to obtain preliminary scene structure information.

[0121] S403. Construct an image scene graph based on the obtained image theme and scene data, and generate a final 3D scene structure according to the scene graph.

[0122] S404, usin...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention belongs to the technical field of image processing, and discloses an image dynamic real-time analysis system and method based on artificial intelligence, and the method comprises the steps that a data collection or import module carries out the obtaining of related image data; a data preprocessing module processes the acquired data; an image data dynamic analysis module acquires a target, a theme, a scene, content and other characteristic data of the image; an image classification module performs image classification; a scene model construction module is used for constructing a scene model; the data judgment module judges the required image data content; the image feature extraction module is used for extracting corresponding data; the data importing module imports the extracted data into a constructed scene model; and performing display image dynamic analysis on the constructed scene model by using visual equipment to obtain a target, a theme, a scene, content and otherfeature data. According to the invention, the feature points contained in the image can be mastered in an omnibearing manner.

Description

technical field [0001] The invention belongs to the technical field of image processing, and in particular relates to an artificial intelligence-based image dynamic real-time analysis system and method. Background technique [0002] Currently, digital image analysis technology plays an important role in today's society. As the performance of hardware devices continues to rise, the image resolution has become higher and higher. In the civilian field, 1080P resolution has become popular, and in the industrial and scientific research fields, video data with higher resolution is often used to collect more information. [0003] Digital image processing technology has a history of more than 60 years. With the development of electronic computers to a certain level, people began to use computers to process graphics and image information. The purpose of early image processing is to improve the quality of the image, it takes people as objects, and aims to improve people's visual eff...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
IPC IPC(8): G06T5/00G06T5/40G06T7/10G06T17/00G06K9/62G06N3/08
CPCG06T5/40G06T7/10G06T17/00G06N3/084G06T2207/20081G06T2207/20084G06T2207/20221G06T2200/04G06F18/24G06T5/70
Inventor 周康董岩闫强石凯武铁军
Owner 中联云港数据科技股份有限公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products