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An Edge-Based Fuzzy Detection Method

A fuzzy detection and edge technology, applied in image data processing, instruments, calculations, etc., can solve problems such as inaccurate judgments, and achieve the effect of universality and accuracy

Active Publication Date: 2016-12-28
MEITU
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Problems solved by technology

However, the above scheme has certain limitations. The above method is that the center of the default image is the area where we focus on the object, and based on this, the image features are analyzed
Misjudgment occurs when the object of interest is not in the center of the image

Method used

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Embodiment Construction

[0032] In order to make the technical problems, technical solutions and beneficial effects to be solved by the present invention clearer and clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0033] like figure 1 As shown, the edge-based blur detection method of the present invention includes the following steps 10 to 40.

[0034] Step 10, receiving the image and performing grayscale processing on the image to obtain image A.

[0035] Specifically, the grayscale processing formula may be one of the following two formulas:

[0036] Gray=0.299*Red+0.587*Green+0.114*Blue, or

[0037] Gray=(Red*306+Green*601+Blue*117+512) / 1024,

[0038] Among them, Gray is the gray value, and Red, Green, and Blue are the color values ​​of the three channels ...

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Abstract

The invention discloses an edge-based fuzzy detection method. The edge-based fuzzy detection method comprises the following steps that an image is received and is processed in a graying mode to obtain an image A; strong edge detection and weak edge detection are respectively conducted on the image A, and a strong edge result B and a weak edge result C are respectively obtained; the image A is partitioned, and statistics are conducted on blocks, the strong edge result and the weak edge result to obtain strength histogram statistics, wherein the strong edge result and the weak edge result correspond to the blocks respectively; the fuzzy image probability of the image A is worked out through results of the strength histogram statistics. Due to the adoption of the scheme, no matter where an object focused on by people appears in the image, people can carry out fuzzy detection and processing on the image, and universality and accuracy of the detection method are achieved.

Description

technical field [0001] The invention relates to a computer image processing method, in particular to an edge-based fuzzy detection method. Background technique [0002] The image will encounter the interference of external factors such as shaking, movement and focus during the photo taking process, resulting in blurring; or we use image processing software to process the image resulting in blurring. [0003] Chinese patent publication CN 103065118 discloses a method and device for image blur detection. In this patent document, an image blur detection method is proposed by expanding from the inside to the outside. It divides the image into multiple regions from the inside to the outside. , and generate the global fuzzy features of the image according to the fuzzy features of each region for classification. However, there are certain limitations in adopting the above scheme. The above method assumes that the center of the default image is the area where we focus on the object...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/00
Inventor 张伟傅松林李志阳张长定
Owner MEITU
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