Image splicing method for battery panel

A technology of image stitching and battery board, which is applied in the field of image processing, can solve problems such as mismatching, achieve the effect of eliminating cumulative errors and improving the effect of image stitching

Inactive Publication Date: 2012-01-11
HANVON CORP
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AI Technical Summary

Problems solved by technology

Panel images often have repeating gridlines, and both feature-based and region-based registration methods run the risk of misregistration

Method used

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  • Image splicing method for battery panel
  • Image splicing method for battery panel
  • Image splicing method for battery panel

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Embodiment Construction

[0016] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments.

[0017] The invention aims to provide an image mosaic method for battery panels. This method adopts a multi-scale registration method with adaptive scale selection to overcome the influence of imaging interference on the registration method; in addition, by introducing an external registration reference, it not only guides local stitching, but also performs batch adjustment combined with image stitching to eliminate The influence of accumulated errors is eliminated, and the performance of image stitching is finally improved.

[0018] An image mosaic method for a solar panel, comprising the following steps:

[0019] Step 1: Transform the input panel image to form a training image set.

[0020] Training data collection can be done manually or automa...

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Abstract

The invention relates to an image splicing method for a battery panel, which belongs to the image processing field, and comprises the following steps that: step 1, an inputted battery panel image is changed to form a training data group; step 2, a registration scale is self selected according to the obtained training data group, and the image to be spliced is changed for multiple scales; step 3, the adjacent images are registered by adopting a region associated method according to the selected scale after the multi-scale variation, and the image after being registered is surface fit; step 4, the performance curve after the fitting is adjusted in a batch, and the overlapped image is synthesized to obtain the image after the splicing. The most valid registration scale is selected through a registration method and the image content self-adaptive strategy, so the influence of the image interference on the registration method can be overcome; and an external registration reference is used, and mass adjustment is executed through the image splicing, so the image splicing effect is improved, and the accumulated error produced in the registration process of a great amount of images can be eliminated.

Description

technical field [0001] The invention belongs to the field of image processing, and relates to an image splicing method, in particular to an image splicing method for battery panels. Background technique [0002] The image stitching process consists of three steps: image acquisition, image registration, and image synthesis. Image registration is the core link of image stitching. Due to the different positions, attitudes and environments of the camera during shooting, there will be differences in grayscale and changes in imaging positions between different images of the same scene. [0003] Image registration is typically based on region-based registration methods and feature-based registration methods. In view of the relatively large amount of calculation of the region-related registration method, the method of FFT transformation calculation and registration is usually used. The registration method based on region correlation is simple to implement and can be applied to any...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/50G06T7/00
Inventor 谢杰成张栋晏阳张蓬胡波
Owner HANVON CORP
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