Method for correcting misplaced partial image splicing

A local image and sub-image technology, applied in image analysis, graphic image conversion, image data processing, etc., can solve problems such as high cost and maintenance, difficult image registration, speed and real-time impact of stitching

A local image and sub-image technology, applied in image analysis, graphic image conversion, image data processing, etc., can solve problems such as high cost and maintenance, difficult image registration, speed and real-time impact of stitching

CN107945113AActive Publication Date: 2018-04-20北京天睿空间科技股份有限公司
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  • Method for correcting misplaced partial image splicing
  • Method for correcting misplaced partial image splicing
  • Method for correcting misplaced partial image splicing

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Embodiment Construction

[0077] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0078] Such as Figure 2-Figure 5 As shown, due to the large distance between cameras often occurs in practical engineering applications, it is necessary to provide a method for dynamic features of local areas to address the shortcomings of stitching and misalignment in panoramic images obtained by gray-level similar methods. Transformation correction method, so as to eliminate the misalignment, so that the stitched panoramic image meets the actual application requirements.

[0079] The key technical problem to be solved by the present invention is: how to eliminate the misalignment of the correction area under the condition of ensuring the connection between the image in the correction area and the image outside the correction area.

[0080] To solve this key technical problem, the present invention needs to complete three steps of dislocation area po...

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Abstract

The invention relates to a method for correcting misplaced partial image splicing. The method comprises the following steps: in step 1, a misplaced spliced area in a panoramic spliced image with misplacement is determined, two spliced sub-images for splicing the area are determined, and the misplaced spliced area is taken as an area to be corrected; in step 2: exact matching is performed on the two spliced sub-images in the area to be corrected, a transformation matrix for exactly matching the two spliced sub-images in the area to be corrected, and initial coordinate offset used to correct themisplacement can be calculated accordingly; in step 3, weighted correction is performed, correction transformation is performed via weighted corrected coordinate offset, an offset weight coefficientis 1 in a central area of the area to be corrected and is 0 in an edge region of the area to be corrected, and the offset weight coefficient gradually transits between the area with the offset weightcoefficient being 1 and the area with the offset weight coefficient being 0. The method disclosed in the invention helps ensure that the correction transformation of a specified area is completed while that images in the area to be corrected and images beyond the area to be corrected are spliced is ensured, and a panoramic spliced image with eliminated misplacement is obtained.

Description

technical field [0001] The invention relates to a correction method for partial image splicing dislocation, in particular to a correction method for partial image splicing dislocation under panoramic splicing, and belongs to the technical fields of panoramic splicing, image registration and feature recognition. Background technique [0002] Image stitching technology is the technology of stitching several images with overlapping parts into a large seamless high-resolution image. One of the most widely used stitching methods in image stitching technology is panoramic stitching. After projecting onto a common surface for registration, all adjacent images are fused to finally generate a panorama. Therefore, the core technology of panorama stitching is image registration technology. [0003] The current image registration algorithms can basically be divided into two categories: methods based on frequency domain and methods based on gray level similarity. Among them, the method b...

Claims

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Application Information

Patent Timeline
20 Apr 2018
Publication
CN107945113A
IPC
G06T3/40; G06T7/33
Inventors
吴刚; 侯文静