Image-Capturing Apparatus Contour Verification for Document Scanning
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Solution Overview
Problem
Existing image-capturing systems struggle to ensure that the entire object is captured within the image area, leading to partial object exclusion and the need for repeated captures to extract desired shapes, especially when capturing rectangular objects like documents from oblique angles.
Innovation Solution
An image-capturing apparatus with display means to show captured images, a detecting section to identify edge pixels forming a rectangular object's boundary, and a display processing section to superimpose a contour line on the image, allowing users to check if the object is fully within the capture area before storing data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If image capture is performed without contour verification, then capture process is simple and fast, but object may be partially excluded from captured image area
Solution Approach 1:
The system performs preliminary contour detection and verification before final image capture and storage. The contour line is detected and superimplied on the captured image to verify object completeness, allowing users to check if the entire object is within the captured area before saving, thus preventing partial object exclusion.
Solution Approach 2:
A contour line is introduced as an intermediary visual element to bridge the gap between the captured image and the object boundary. This contour line serves as a mediator that helps users visually verify whether the entire object is captured, without requiring complex analysis or additional capture operations.
2Reliability
If multiple captures are performed to ensure complete object capture, then object completeness improves, but time consumption increases
Solution Approach 1:
The system performs preliminary contour verification on the first captured image before proceeding to save or retake. By detecting the contour line and superimposing it on the captured image for user verification, the system determines whether additional captures are needed, thereby reducing unnecessary repeated captures and time loss.
Solution Approach 2:
The system provides visual feedback by superimposing the detected contour line on the captured image, allowing users to immediately see whether the entire object is captured. This feedback mechanism enables users to make informed decisions about whether to retake the image, reducing unnecessary repeated captures and time consumption.
3Measurement precision
If contour detection and verification are added, then object position verification improves, but processing complexity increases
Solution Approach 1:
The system extracts only the essential contour information from the captured image for verification purposes, rather than performing complex full-image analysis. By focusing on detecting the object boundary and superimposing a simple contour line, the system achieves accurate position verification with minimal processing complexity.
Solution Approach 2:
The system applies contour detection and verification only to the specific region where the object is located, rather than processing the entire image uniformly. By localizing the verification process to the object boundary area, the system achieves precise position verification while minimizing overall processing complexity.
Data Source
AI summary
A mobile terminal apparatus includes a geometrical arrangement detecting section (111) detecting groups of edge pixels arranged in a shape of a line segment in an image captured by an image-capturing apparatus; and a display processing section (112) causes a contour line representative of a contour of a rectangular captured object to be displayed on the captured image displayed on a display section so that the contour line is superimposed on the groups of edge pixels detected by the geometrical arrangement detecting section (111).