Image registration method based on gray histogram

A gray histogram and image registration technology, applied in the field of image processing, can solve the problems of ignoring local motion areas, unstable registration effects, time-consuming, etc., to reduce matching time, improve accuracy and reliability, remove effect of error

Pending Publication Date: 2022-03-08
上海海栎创科技股份有限公司
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Problems solved by technology

However, because this method needs to search the whole image, it is very time-consuming, and the registration effect is unstable due to brightness changes; another method is improved based on the scale-invariant feature transformation algorithm, which is used to describe the local features of the image and perform exposure Registration between different images, but tends to ignore local motion areas, causing ghosting

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  • Image registration method based on gray histogram
  • Image registration method based on gray histogram
  • Image registration method based on gray histogram

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Embodiment Construction

[0024] In the following description, many technical details are proposed in order to enable readers to better understand the application. However, those skilled in the art can understand that without these technical details and various changes and modifications based on the following implementation modes, the technical solutions claimed in the claims of the present application can also be realized.

[0025] In order to make the purpose, technical solution and advantages of the present invention clearer, the following will further describe the implementation of the present invention in detail in conjunction with the accompanying drawings.

[0026] An embodiment of the present application discloses an image registration method based on a grayscale histogram, figure 1 A flowchart of the registration method is shown. The method includes:

[0027] Step 101, collecting multiple groups of images of the same scene with different exposure times. For example, multiple sets of images ...

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Abstract

The invention discloses an image registration method based on a grey level histogram, which is used for registering different exposure images by combining grey level statistical information and scale invariant information. In order to improve the accuracy and reliability of feature points detected during global matching, firstly, images are subjected to grey-scale map matching, so that tones of different exposure images are consistent; secondly, global alignment is carried out, when a homography matrix between the two images is calculated, possible wrong matching points are further removed on the basis of an existing algorithm, the matrix is evaluated, it is guaranteed that errors caused by moving objects or too large rotation jitter are removed during global alignment, and the alignment accuracy is further improved; and finally, the threshold graph is combined with block matching, so that the motion area can be detected more simply, quickly and accurately, matching is carried out, and the matching time is greatly shortened.

Description

technical field [0001] The invention belongs to the technical field of image processing, and relates to an image registration method based on a gray histogram. Background technique [0002] The existing image registration methods are mainly divided into two types: one is registration based on image grayscale statistics, which usually counts image information features, generates grayscale feature functions, and calculates transformation information between images. However, because this method needs to search the whole image, it is very time-consuming, and the registration effect is unstable due to brightness changes; another method is improved based on the scale-invariant feature transformation algorithm, which is used to describe the local features of the image and perform exposure Registration between different images, but tends to ignore local motion regions, causing ghosting. Contents of the invention [0003] The purpose of the present invention is to provide an image...

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Application Information

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IPC IPC(8): G06T7/33G06T7/35G06T7/223
CPCG06T7/337G06T7/35G06T7/223Y02T10/40
Inventor 王冠吉贝贝李强徐小泉
Owner 上海海栎创科技股份有限公司
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