Image Compositing with Geometric Verification for Torn Documents
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Solution Overview
Problem
Conventional image processing apparatuses face difficulties in automatically reconnecting and composing images from torn documents with non-rectangular shapes without user intervention, leading to increased operational burdens and potential errors in forming a composite image.
Innovation Solution
An image processing apparatus and method that includes a capturing unit, storage unit, first and second determination sections, and control sections to identify and connect non-rectangular image edges, determining if the combined image is rectangular or bilaterally symmetric, and then producing a composite image automatically.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If conventional image processing apparatuses are used to reconnect and compose images from torn documents with non-rectangular shapes, then the basic image compositing function is provided, but user intervention is required leading to increased operational burdens and potential errors
Solution Approach 1:
The system performs self-verification by automatically determining whether the outer shape of the combined image is rectangular or bilaterally symmetric, and automatically determines the presence of non-rectangular images. This self-service capability eliminates the need for user intervention in verifying image composition accuracy, thereby reducing operational burden while achieving automatic image reconnection.
Solution Approach 2:
The system incorporates a feedback mechanism where the second determination section verifies the correctness of the combined image by checking whether its outer shape is rectangular or bilaterally symmetric. This feedback loop ensures accurate automatic reconnection of torn document images without requiring user intervention, resolving the contradiction between ease of operation and extent of automation.
2Productivity
If automatic image compositing is implemented without verification, then productivity is improved, but manufacturing precision deteriorates due to potential errors in forming composite images
Solution Approach 1:
The system performs preliminary verification actions before finalizing the composite image output. The second determination section checks whether the outer shape of the combined image is rectangular or bilaterally symmetric, and the first determination section identifies non-rectangular images before compositing. These preliminary actions ensure accuracy while maintaining efficient automatic processing, resolving the contradiction between productivity and manufacturing precision.
Solution Approach 2:
The verification sections provide feedback on the accuracy of image compositing by determining geometric properties of the combined image. This feedback mechanism ensures that composite images are formed with high precision automatically, maintaining both productivity and manufacturing precision simultaneously.
3Manufacturing precision
If verification steps are added to ensure composite image accuracy, then manufacturing precision is improved, but device complexity increases due to additional determination sections
Solution Approach 1:
The verification mechanism focuses on specific local geometric properties (rectangularity and bilateral symmetry) of the combined image outer shape rather than performing comprehensive complex verification. This localized approach to quality checking ensures manufacturing precision while minimizing the increase in device complexity, as the determination sections only need to assess these specific geometric characteristics.
4Adaptability or versatility
If the system handles only rectangular images, then device complexity is reduced, but adaptability deteriorates as it cannot process torn documents with non-rectangular shapes
Solution Approach 1:
The system is designed to handle asymmetric (non-rectangular) image shapes by incorporating determination sections that specifically identify and verify non-rectangular images. The first determination section detects the presence of non-rectangular images, and the second determination section verifies bilateral symmetry or rectangularity after compositing. This asymmetric handling capability provides adaptability for torn documents while keeping processing logic manageable through focused geometric property verification.
Data Source
AI summary
This image processing apparatus includes a first determination section, a first control section, a second determination section, and a second control section. If the first determination section determines that there are images whose outer shapes are not rectangular, the first control section performs control operations to connect edges of the images to combine the images. The second determination section determines whether the outer shape of the combined image, which is made of the images combined by the first control section, is rectangular or whether the combined image is bilaterally symmetric with respect to a predetermined line passing through the center of the combined image. If the second determination section determines that the outer shape of the combined image is rectangular or that the combined image is bilaterally symmetric, the second control unit performs control operations to produce a composite image of the images with the edges connected to each other.