A scanning file fuzzy retrieval self-adaptive splicing method
By combining local and global fuzzy search methods, an adaptive deformation mesh is constructed for pose compensation, which solves the problem of image block stitching in long documents scanned by non-fixed handheld mobile terminals. This achieves high-precision automatic stitching and is suitable for mobile office and archive digitization scenarios.
CN122265026APending Publication Date: 2026-06-23BOWENDE (BEIJING) TECHNOLOGY CO LTD +1
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- BOWENDE (BEIJING) TECHNOLOGY CO LTD
- Filing Date
- 2026-03-11
- Publication Date
- 2026-06-23
Smart Images
Figure CN122265026A_ABST
Abstract
The application provides a scanning file fuzzy retrieval self-adaptive splicing method, and relates to the technical field of document digitization and computer vision. The method comprises the following steps: obtaining a plurality of fuzzy image blocks obtained by non-fixed block scanning of a long document by a mobile terminal, wherein the long document comprises a layout structure composed of text lines and lines; performing local fuzzy retrieval on each fuzzy image block to extract local features of each image block, and determining an initial pose relationship and an overlapping area between the image blocks according to the local feature matching; determining a local rigid texture primitive in the overlapping area of each image block; performing preliminary splicing on the plurality of fuzzy image blocks according to the initial pose relationship and the overlapping area to obtain a preliminary splicing image, and determining a global topological constraint manifold feature point in the preliminary splicing image. The application can realize accurate splicing of fuzzy image blocks and layout structure restoration.
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