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Method for image stitching based on mean value duplication removal

An image splicing and overlapping image technology, which is applied in the field of image processing, can solve the problems of large jumps in pixel values, affecting the viewing comfort of video images, and sudden jumps in image viewing, so as to improve image processing efficiency and reduce image processing work Effect

Inactive Publication Date: 2016-09-07
安徽伟合电子科技有限公司
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Problems solved by technology

[0003] Because different cameras shoot at different angles, the pictures obtained are repeated in time, and the pixel values ​​​​are also different due to factors such as light.
If two images with partially overlapping images, that is, image borders, are simply spliced ​​together according to the overlapping of the border areas, it is easy to cause large jumps in pixel values, resulting in sudden jumps in visual viewing of the images, which will affect the comfort of viewing the video screen

Method used

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  • Method for image stitching based on mean value duplication removal

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Embodiment Construction

[0019] refer to figure 1 , an image mosaic method based on mean deduplication proposed by the present invention, comprising the following steps.

[0020] S1. Obtain a first image and a second image, and segment overlapping parts from the first image and the second image respectively as a first overlapping image and a second overlapping image. The first boundary line and the second boundary line are respectively extracted on the first overlapping image and the second overlapping image, the first boundary line is the boundary line between the first overlapping image and the first feature image, and the second boundary line is the boundary line between the second overlapping image and the first feature image. The boundary line of the second feature image, the first feature image is the first image segmenting the remaining part of the first overlapping image, and the second feature image is the second image segmenting the remaining part of the second overlapping image.

[0021] I...

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Abstract

The invention discloses a method for image stitching based on mean value duplication removal. The method comprises the following steps: firstly respectively separating a first overlapped image and a second overlapped image from a first image and a second image, thus separately conducting mean value processing on the first overlapped image and the second overlapped image, which reduces image processing work compared to direct processing of the first image and the second image and is conducive to increasing image processing efficiency. According to the invention, the mean images obtained after the processing of the first overlapped image and the second overlapped image are intended for covering a stitched image between the first image and the second image through the stitching of mutual covering of the overlapped parts, so that a first feature image and a second feature image undergo transition stitching through the mean value images, which avoids pixel hopping caused by direct stitching with no transition of the stitched image of the first feature image and the second feature image.

Description

technical field [0001] The present invention relates to the technical field of image processing, in particular to an image mosaic method based on mean deduplication. Background technique [0002] Image processing is an indispensable technical means in intelligent monitoring, image recognition, and video playback. An important branch of image processing is image stitching. For example, in video playback or video monitoring, the video images obtained are often taken by multiple cameras from different angles. In order to reproduce the real scene, the images obtained by different cameras must be spliced ​​to ensure the integrity of the scene reproduction. [0003] Due to the different shooting angles of different cameras, the obtained pictures are repeated in time, and the differences in pixel values ​​may also be caused by factors such as light. If two images with partially overlapping frames, that is, image borders, are simply spliced ​​together according to the overlap of th...

Claims

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Application Information

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IPC IPC(8): G06T3/40G06T5/00
CPCG06T3/4038G06T2207/10016G06T5/70
Inventor 刘智伟邓震
Owner 安徽伟合电子科技有限公司
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