Rapid disordered image splicing method for improving binary tree model
A fast splicing, binary tree technology, applied in image enhancement, graphic image conversion, image data processing and other directions, can solve problems such as low efficiency
Pending Publication Date: 2022-06-10
CHONGQING UNIV OF POSTS & TELECOMM
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After finding image pairs with overlapping areas and splicing them two by two to obtain panoramic subimages, it is still necessary to search for image matching pairs again to continue splicing, and to repeat a lot of meaningless work such as feature extraction and matching, which is inefficient.
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[0040] The following describes in detail the embodiments of the present invention, examples of which are illustrated in the accompanying drawings, wherein the same or similar reference numerals refer to the same or similar elements or elements having the same or similar functions throughout. The embodiments described below with reference to the accompanying drawings are exemplary, and are intended to explain the present invention and should not be construed as limiting the present invention.
[0041] see Figure 1 to Figure 14 , the present invention provides a kind of disorder image fast stitching method of improving binary tree model, comprises the following steps:
[0042] S1 performs random sorting after normalizing and preprocessing several disordered images to obtain an image sequence;
[0043] Specifically, traverse the unordered image set, read the width and height of each image respectively, select the width and height with the largest number as the standard width an...
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The invention relates to the technical field of image splicing, in particular to a quick disordered image splicing method for improving a binary tree model. Carrying out normalization preprocessing on the plurality of disordered images and then carrying out random sorting to obtain an image sequence; obtaining a difference image, a similarity rate and a matching sequence based on the image sequence; sequentially matching the matching sequence with a plurality of reference images according to the similarity rate from large to small, finding out image matching pairs, and splicing the image matching pairs to obtain a plurality of panoramic sub-images; a binary tree is improved, a registration index table is prepared based on a plurality of panoramic sub-images to assist the binary tree in splicing images, a final panoramic image is obtained, a matching sequence is constructed by calculating the similarity rate between each image and other image matching areas, the number of invalid matching times for searching image matching is reduced, and after a plurality of disordered images are paired and spliced, the matching efficiency is improved. The splicing information is recorded as a registration index table, and the process of searching image matching pairs in subsequent splicing is omitted.
Description
technical field [0001] The invention relates to the technical field of image stitching, in particular to a fast stitching method for disordered images with improved binary tree model. Background technique [0002] Image stitching has always been a research hotspot in the field of computer vision. The mature sequential image stitching technology is widely used in remote sensing images, video surveillance, virtual reality and 3D reconstruction and other scenarios. However, there are few studies on disordered image stitching technology, and there are still many unsolved problems in terms of accuracy and efficiency. [0003] The ray digital imaging technology in the industrial field is limited by the size of the flat panel detector. When collecting large or long objects, it is necessary to collect images of the workpiece from multiple angles. Stitching technology can combine them into a large image containing the complete workpiece, which can help with subsequent inspections. ...
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IPC IPC(8): G06T3/40G06T5/50
CPCG06T3/4038G06T5/50
Inventor 瞿中司志超夏淑芳高乐园鞠芳蓉
Owner CHONGQING UNIV OF POSTS & TELECOMM