Camera filter adaptive switching method and system based on artificial intelligence

A self-adaptive switching and artificial intelligence technology, applied to TV system components, color TV components, image data processing, etc., can solve problems such as difficult bubbles, difficult to switch filters, and inability to judge bubbles in time , to achieve the effect of improving accuracy and reducing manpower and material resources

Inactive Publication Date: 2021-01-22
王海
View PDF1 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] Because the air bubbles are difficult to observe, and artificially changing the camera filter, it cannot cope well with the occurrence of various situations. It is difficult to switch different filters according to the images taken with different effects, so that the air tightness detection cannot be judged in time. Air bubbles appearing in the device

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
  • Camera filter adaptive switching method and system based on artificial intelligence
  • Camera filter adaptive switching method and system based on artificial intelligence
  • Camera filter adaptive switching method and system based on artificial intelligence

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0027] In order to further explain the technical means and effects of the present invention to achieve the intended purpose of the invention, a method and system for adaptive switching of camera filters based on artificial intelligence proposed according to the present invention will be described below in conjunction with the accompanying drawings and preferred embodiments. , its specific implementation, structure, characteristics and effects thereof are described in detail as follows. In the following description, different "one embodiment" or "another embodiment" do not necessarily refer to the same embodiment. Furthermore, the particular features, structures, or characteristics of one or more embodiments may be combined in any suitable manner.

[0028] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the technical field of the invention.

[0029] A specific scheme of an artific...

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 relates to the technical field of artificial intelligence, in particular to a camera filter adaptive switching method and system based on artificial intelligence. The method comprises the following steps: acquiring an image; obtaining an image gray histogram, and obtaining a preset interval pixel proportion; judging an exposure type, carrying out light homogenization processing on the image with abnormal exposure, and correcting the image with abnormal exposure into an image with normal exposure; carrying out turbidity detection on the normally exposed image to obtain a turbidityevaluation index; detecting the area and the average gray value of bubbles in the image, and judging the obvious degree of the bubbles; and judging the optimal filter of the current camera by combining the pixel proportion, the turbidity evaluation index and the obvious degree of the bubbles. According to the method, the filter of the camera is intelligently switched in combination with the pixelproportion and turbidity of the image and the obvious degree of bubbles in the image, and the detection accuracy of the air tightness detection device is improved by switching the proper camera filter.

Description

technical field [0001] The invention relates to the technical field of artificial intelligence, in particular to an artificial intelligence-based camera filter adaptive switching method and system. Background technique [0002] A camera filter is an additional lens installed in front of the camera lens to filter natural light. Different camera filters can make the captured images achieve different effects. In equipment airtightness testing, since air bubbles are weak features, they are difficult to detect in images, even with human eyes. [0003] In the document whose authorized publication number is CN106331524B, a method and device for identifying lens switching are provided. By analyzing the color histogram and brightness histogram of the key frame image of the video to be detected, it is judged whether the key frame image conforms to the preset lens Switch the judgment condition to determine that the current key frame image has a camera cut. [0004] In practice, the i...

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): G06T7/187G06T7/00G06T7/62G06T7/90H04N5/225H04N5/232H04N5/238
CPCG06T7/187G06T7/62G06T7/90G06T7/0004H04N23/55H04N23/61H04N23/75
Inventor 王海王宗亚
Owner 王海
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

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap