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Search method and system for optimal splicing lines among images based on graph-cut energy optimization

An energy optimization, splicing line technology, applied in image analysis, image enhancement, image data processing and other directions, can solve the problems of high computational complexity, low efficiency, long time consumption, etc.

Active Publication Date: 2014-08-13
SHENZHEN JIMUYIDA TECH CO LTD
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Problems solved by technology

This method can get a better splicing effect, but it takes a long time, has high computational complexity and low efficiency

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  • Search method and system for optimal splicing lines among images based on graph-cut energy optimization
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  • Search method and system for optimal splicing lines among images based on graph-cut energy optimization

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Embodiment Construction

[0107] During specific implementation, the process provided by the technical solution of the present invention can be automatically run by those skilled in the art using computer software technology. In order to better understand the technical solution of the present invention, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments.

[0108] See attached figure 1 , the method provided by the embodiment of the present invention includes the following steps:

[0109] Step 1, prepare the image data to be spliced.

[0110] Since this algorithm has strong compatibility and can process various images, the data preparation process is slightly different for different images. Generally, the input image is recognized first. If it is a panoramic image (corrected to a spherical surface), no orientation processing is required; if the input image is an aerial image, the homography matrix can be used for relative geomet...

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Abstract

The invention discloses a search method and system for optimal splicing lines among images based on graph-cut energy optimization. According to the method, data preparation of the images to be spliced is performed, and all overlap regions and corresponding overlap degrees among all the images to be spliced are obtained; the images to be spliced are preprocessed, color, gradient and texture information is comprehensively considered to determine a graph-cut global energy function which includes a data item and a smooth item, weighting setting is performed on energy of the smooth item, the graph-cut energy optimization method is adopted for optimizing total energy, and therefore the optimal splicing lines are obtained. The obtained splicing lines are prevented from passing through regions which are overlarge in color difference and complex in texture and passing through edges obvious in ground feature as much as possible, so that optimization of the splicing lines is ensured to the maximum degree, the problem of optimizing multi-image multi-degree overlap region splicing lines in a combined mode is solved, and the application range is wide.

Description

technical field [0001] The invention belongs to the technical field of digital image processing, and in particular relates to a technical scheme and system for finding an optimal splicing line between images based on Graph-Cuts energy optimization. Background technique [0002] In the process of digital image stitching, due to the influence of factors such as image registration geometric error and image chromatic aberration, areas with large differences between images caused by shooting angle or target movement (such as buildings, vehicles, pedestrians and other obvious objects) , the spliced ​​images often have obvious misalignment. Therefore, how to find an optimal stitching line quickly and efficiently (avoiding passing through areas with large image differences) is the most critical technology in image stitching, and it is also one of the hot topics in the fields of computer vision and photogrammetry. It is most widely used in stitching and aerial image stitching (espec...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00G06T5/50
Inventor 姚剑李礼唐文莉常娟
Owner SHENZHEN JIMUYIDA TECH CO LTD
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