Automated Image Splitting and Sorting for Scanned Booklets
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing image processing methods for scanning and sorting booklets or books after splitting fail to automatically organize and order scanned images correctly, requiring manual intervention which is inefficient and labor-intensive.
Innovation Solution
An image processing method and apparatus that automatically splits double-page scanned images into single-page images and sorts them according to the page order of the original booklet, using a combination of image analysis and sorting algorithms to determine the correct order.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual organization and cropping of scanned images is performed, then the scanned images can be organized correctly, but the process becomes troublesome and inefficient
Solution Approach 1:
The system performs automatic image splitting and sorting based on detected binding lines and page sequences, eliminating the need for manual intervention. The device serves itself by autonomously organizing scanned images according to the detected booklet structure.
Solution Approach 2:
The manual mechanical process of organizing and cropping images is replaced by an automated image processing system that uses computer vision to detect binding lines and algorithms to automatically split and sort images according to page order.
2Productivity
If every two pages are located on the same scanned image, then scanning speed is maintained, but the user needs to organize and crop the images which is troublesome
Solution Approach 1:
The system automatically segments double-page scanned images into single-page images by detecting binding lines. This segmentation is performed programmatically based on the detected page structure, making the process efficient and accurate without manual intervention.
Solution Approach 2:
The system introduces an intermediate processing step that automatically analyzes the scanned double-page images, detects binding lines, and generates properly sorted single-page images before final output, mediating between the scanning process and the final organized result.
3Productivity
If automatic splitting and sorting is implemented, then efficiency is improved, but the system complexity increases
Solution Approach 1:
The image processing device integrates multiple functions including scanning, binding line detection, image splitting, and sorting into a single unified system. This multi-functionality allows the device to handle the entire workflow automatically without requiring separate manual operations.
Solution Approach 2:
The system uses feedback from binding line detection to automatically adjust the splitting and sorting process. The detected page sequences and binding line positions provide feedback that guides the automatic image processing algorithms to correctly organize the scanned pages.
Data Source
Figure 1(a)~1(b)
Figure 1(c)~1(d)
Figure 1(e)~1(f)
AI summary
This application discloses an image processing method and apparatus. The image processing method includes: performing double-sided scan on a to-be-scanned sheet to obtain a double-page scanned image; splitting the double-page scanned image to obtain single-page scanned images; and sorting the single-page scanned images according to a page order of the to-be-scanned sheet. In this application, after double-sided scan is performed on a to-be-scanned sheet to obtain a double-page scanned image, the double-page scanned image is split to obtain single-page scanned images, and then the single-page scanned image is automatically sorted according to a page order of the to-be-scanned sheet, so that a scanned image obtained by scanning is according to a page order consistent with a page order of an original booklet or book to be scanned, without being manually split or sorted, thereby saving time and labor, and increasing the efficiency.