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Image Sharpness Evaluation Method

A technology of image clarity and evaluation method, which is applied in the field of focus evaluation to achieve high-sensitivity effects

Active Publication Date: 2021-04-09
SHANDONG IND TECH RES INST OF ZHEJIANG UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The SMD function curve is near the extreme point, which has stronger sensitivity than the energy gradient function curve, but there is no energy gradient function far away from the extreme point.

Method used

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Experimental program
Comparison scheme
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Embodiment Construction

[0034] The image clarity evaluation method comprises the following steps:

[0035] Step 1: In the process of adjusting the focus, obtain a picture every time the object distance is adjusted; the object distance refers to the distance between the camera and the measured object;

[0036] Step 2: Obtain one of the images as the current image, obtain the pixel matrix of the current image, and the elements of the pixel matrix are the gray value g(x,y) of each pixel;

[0037] Step 3: In the pixel matrix, only in the x direction or only in the y direction, the image sharpness value is represented by the overall gray energy of the image:

[0038] Function (1-1): or for function (1-2):

[0039] m represents the total number of rows of the pixel matrix, and n represents the total number of columns of the pixel matrix; among them, g(x, y) represents the gray value of the pixel in the xth row and yth column of the current image; g(x, y+1 ) represents the gray value of the pixel in r...

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Abstract

The invention discloses an image clarity evaluation function method, which includes acquiring a picture every time the focal length is adjusted in the process of adjusting the focus; acquiring one of the images as the current image, acquiring the pixel matrix of the current image, and the elements of the pixel matrix is the gray value g(x, y) of each pixel; in the pixel matrix, only in the x direction or only in the y direction, the overall gray energy of the image is used to represent the image definition value: or m represents the row of the pixel matrix The total number, n represents the total number of columns of the pixel matrix; among them, g(x, y) represents the gray value of the pixel point in the xth row and yth column of the current image; g(x, y+1) represents the gray value of the pixel in the current image The gray value of the pixels in row x and column y+1; the in-focus image is the one with the largest image clarity value. The present invention has the advantage of higher sensitivity both near the extreme point and far away from the extreme point.

Description

technical field [0001] The invention relates to the field of focus evaluation, and more specifically, it relates to an image definition evaluation method. Background technique [0002] Usually, for a specific imaging system, the sharpness of its imaging reflects the focus state of the system. When the focusing effect is better, the image is clearer, with rich information such as contour details, and different feature information is highlighted in the spatial domain or frequency domain. For example, in the spatial domain, the gray value of the image is used as the main feature information; in the frequency domain, the feature information is high-frequency components. Usually, an image focus evaluation function (Focus Value) is used to measure whether the image is in focus. [0003] When the image focus state is relatively good, the image is clear, and the feature values ​​of the adjacent pixels of the image, such as gray value, contrast, etc., change drastically in the spat...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/00
CPCG06T7/0002
Inventor 曹衍龙黄金娜任俊明张宁杨将新曹彦鹏吴佳玲
Owner SHANDONG IND TECH RES INST OF ZHEJIANG UNIV