Image processing method and device, electronic equipment and storage medium

An image processing and image technology, applied in the field of image processing, can solve the problems of difficult image registration algorithm evaluation and low registration accuracy, and achieve the effect of enriching image selection and improving accuracy

Pending Publication Date: 2021-02-26
GUANGDONG TOPSTAR TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0004] However, in practical applications, the images that need to be registered have different angles. For the registration of rotated images, the registration accuracy of this test set is low, and it is difficult to objectively evaluate the image registration algorithm with rotation angles.

Method used

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  • Image processing method and device, electronic equipment and storage medium
  • Image processing method and device, electronic equipment and storage medium
  • Image processing method and device, electronic equipment and storage medium

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Embodiment 1

[0031] figure 1 It is a schematic flow chart of the image processing method provided by Embodiment 1 of the present invention. This embodiment is applicable to the situation where a corresponding multi-scale and multi-angle image set needs to be constructed according to the input image. This method can be executed by an image processing device. The device can be realized by hardware and / or software, and the method specifically includes the following steps:

[0032] S110. Acquire the image to be processed, and perform iterative downsampling processing with preset rules on the image to be processed to obtain an image set with a pyramid structure.

[0033] Wherein, downsampling is used to reduce the resolution of the image to be processed. Exemplarily, the size of the image to be processed is M×M. After the image to be processed is downsampled by 2 times, the size of the obtained downsampled image is (M / 2) × (N / 2). Specifically, downsampling can be to remove pixels in even row...

Embodiment 2

[0058] Figure 4 It is a schematic flow chart of the image processing method provided by Embodiment 2 of the present invention. In this embodiment, on the basis of the above-mentioned embodiments, the image to be processed includes a template image for registration and an image to be searched, and "based on at least one rotation "Strategy to rotate images" has been further optimized. The explanations of terms that are the same as or corresponding to the above-mentioned embodiments will not be repeated here.

[0059] see Figure 4 , the image processing method provided in this embodiment specifically includes the following steps:

[0060] S410. Acquire the registered template image and the image to be searched, and perform iterative downsampling processing with preset rules on the template image and the image to be searched to obtain a template image set and a set of images to be searched in a pyramid structure.

[0061] Among them, the registered template image and the image ...

Embodiment 3

[0070] Figure 6 It is a schematic structural diagram of an image processing device provided by Embodiment 3 of the present invention. This embodiment is applicable to the situation where a corresponding multi-scale and multi-angle image set needs to be constructed according to the input image. The device specifically includes: down-sampling processing module 610 , rotation processing module 620 and image set formation module 630 .

[0071] The down-sampling processing module 610 is used to obtain the image to be processed, and perform iterative down-sampling processing of preset rules on the image to be processed to obtain a pyramid-structured image set;

[0072] The rotation processing module 620 is configured to perform rotation processing on the image of any layer in the image set of the pyramid structure based on at least one rotation strategy to obtain at least one rotated image of any layer image, wherein the rotation strategy includes different sizes Variable rotation...

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Abstract

The invention discloses an image processing method and device, electronic equipment and a storage medium. The method comprises the steps of obtaining a to-be-processed image, performing iterative downsampling processing of a preset rule on the to-be-processed image to obtain an image set of a pyramid structure, thereby obtaining a multi-scale image set, and performing rotation processing on the image of any layer in the image set of the pyramid structure based on at least one rotation strategy to obtain at least one rotating image of any layer of image, thereby obtaining a multi-angle image, wherein the rotation strategy comprises a size-invariant rotation strategy, a size-variable rotation strategy and an inscribed circle rotation strategy; and forming a target image set of the to-be-processed image based on each layer of image and the at least one rotation image corresponding to each layer of image. According to the method and device, multi-scale and multi-angle image set construction is achieved, rich image selection is provided for image registration, the image registration precision is improved, and the method and device can also be used for objectively evaluating an image registration algorithm with a rotation angle.

Description

technical field [0001] Embodiments of the present invention relate to the technical field of image processing, and in particular, to an image processing method, device, electronic equipment, and storage medium. Background technique [0002] The registration problem is a fundamental problem in the field of computer science and image processing, and its main role is to search for template-like objects in another image based on known image patterns. At present, image registration technology has been widely used in many fields, such as medical image processing, computer vision, industrial automation and so on. With the in-depth research and application of image registration technology, it is necessary to evaluate the performance of many image registration algorithms, and image registration algorithms can be effectively evaluated through high-precision image test sets. Important research and practical value. [0003] At present, the construction of the image test set can mainly...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/30G06T3/60
CPCG06T7/30G06T3/60G06T2207/10004
Inventor 张翔孙仲旭王升王月刘吉刚徐必业吴丰礼宋宝张冈陈冰
Owner GUANGDONG TOPSTAR TECH
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