Unlock instant, AI-driven research and patent intelligence for your innovation.

A method and device for detecting image edge blur

A technology of image edge and detection method, which is applied in the field of image processing, can solve the problems of low detection accuracy, achieve high detection accuracy, avoid low detection accuracy, and fast detection speed

Active Publication Date: 2017-03-22
ZHEJIANG DAHUA TECH CO LTD
View PDF8 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] Embodiments of the present invention provide a method and device for detecting image edge blurring, which is used to solve the problem of relatively low detection accuracy in the prior art through manual detection

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
  • A method and device for detecting image edge blur
  • A method and device for detecting image edge blur
  • A method and device for detecting image edge blur

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0043] like image 3 As shown, it is a specific flow chart of a method for detecting image edge blurring provided by Embodiment 1 of the present invention. The method includes the following steps:

[0044] Step 31, obtaining the YUV black and white stripe image to be detected;

[0045] Step 32, carry out edge detection to this image, obtain the edge value of each pixel in this image;

[0046] Among them, there are many edge detection methods, such as Prewitt operator, Robert operator, Sobel operator and so on. In the embodiment of the present invention, the Sobel operator is taken as an example, and the specific process is as follows:

[0047] First, perform Sobel edge detection on the x-axis and y-axis on the Y (brightness) component of each pixel in the YUV image, and obtain the Sobel edge value on the x-axis and the Sobel edge value on the y-axis of each pixel;

[0048] Then, the absolute value of the Sobel edge value of the x-axis and the absolute value of the Sobel edg...

Embodiment 2

[0061] Based on the above-mentioned detection method of image edge blurring, the inventor conducted in-depth research on it, and found that if the camera has its own problems that cause edge blurring in the captured image, generally not the entire image will have problems, but There is a problem of edge blurring in a certain part of the image. Therefore, in Embodiment 2 of the present invention, block detection of an image is taken as an example for illustration.

[0062] like Figure 4 As shown, it is a specific flow chart of a method for detecting image edge blur provided by Embodiment 2 of the present invention. The method includes the following steps:

[0063] Step 41, obtaining the YUV black and white stripe image to be detected;

[0064] Step 42: Divide the image according to a preset division rule to obtain a plurality of image blocks; wherein, the division rule satisfies: each obtained image block contains black and white stripes.

[0065] Generally, the number of bl...

Embodiment 3

[0118] Based on the above-mentioned method for detecting blurred image edges, Embodiment 3 of the present invention also provides a device for detecting blurred image edges. The schematic structural diagram of the device is as follows Figure 7 shown, including:

[0119] An acquisition unit 71, configured to acquire a black and white stripe image to be detected;

[0120] An edge blurred pixel point determining unit 72, configured to determine the edge blurred pixel point in the image acquired by the acquiring unit 71;

[0121] A judging unit 73, configured to judge whether the ratio of the number of blurred pixel points determined by the blurred edge pixel point determination unit 72 to all pixels in the image is greater than a preset ratio threshold;

[0122] The blurred-edge image determination unit 74 is configured to determine the image as a blurred-edge image when the judging result of the judging unit 73 is yes.

[0123] Wherein, when directly performing edge blur dete...

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 discloses an image edge blurring detecting method and device. The objective of the invention is to solve the problem of low detection accuracy of manual detection in the prior art. The method includes the following steps that: a black and white stripe image to be detected is acquired; edge blurring pixels in the image are determined; whether the ratio of the number of the determined edge blurring pixels to the number of pixels in the image is larger than a preset ratio threshold value is judged; and if the ratio of the number of the determined edge blurring pixels to the number of the pixels in the image is larger than the preset ratio threshold value, the image is determined as an edge blurred image.

Description

technical field [0001] The invention relates to the field of image processing, in particular to a method and device for detecting image edge blur. Background technique [0002] As people's requirements for image quality are getting higher and higher, the blurring of image edges caused by the camera itself (not the focal length of the camera) has attracted more and more attention. The so-called image edge blurring refers to the phenomenon that the edge of the image captured by the camera is shallower and not prominent enough compared with the actual image when there is no lens virtual focus, resulting in a blurred image . For example, if Figure 1a The image shown is an image with several black horizontal and vertical stripes with a width of 10 pixels on a white background. When there is no edge blur, the partially enlarged image is as follows Figure 1b As shown, the width of the transition edge at the junction of the black and white stripes is generally 1-2 pixels, and th...

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
Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/13
Inventor 潘晖潘石柱张兴明傅利泉朱江明吴军吴坚
Owner ZHEJIANG DAHUA TECH CO LTD