Dynamic Frame Color for Accurate Document Cropping
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Solution Overview
Problem
Existing image processing devices face challenges in accurately cropping individual documents from entire image data, particularly when the edge region of the platen's reading area is mistakenly recognized as a single document, leading to failed document cropping operations, which complicates user operations and requires manual function switching based on document type and platen cover state.
Innovation Solution
An image processing device that includes a platen cover detection unit, a frame image adding unit capable of adding black or white frames to the outer frame region based on the platen cover state, and an individual image cropping unit, which removes the outer frame region and crops individual images from the entire image data after frame addition, thereby preventing erroneous detection and simplifying user operations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the scan operation is performed with the platen cover opened and a black frame image is embedded at the outer frame region, then documents with wide white regions can be successfully cropped, but documents with wide black regions cannot be correctly recognized and cropped
Solution Approach 1:
The patent dynamically changes the frame image color based on the platen cover state: when the cover is open, a black frame image is added; when the cover is closed, a white frame image is added. This dynamic adaptation allows the system to handle both document types effectively without requiring manual function switching.
Solution Approach 2:
The patent changes the color parameter of the frame image according to the platen cover state. By switching between black and white frame images, the system adapts to different lighting conditions created by the cover state, thereby improving document recognition accuracy for both white-region and black-region documents.
2Adaptability or versatility
If the scan operation is performed with the platen cover closed and a white frame image is embedded at the outer frame region, then documents with wide black regions can be correctly cropped, but documents with wide white regions cannot be successfully cropped
Solution Approach 1:
The system dynamically selects the frame image color based on platen cover state. When the cover is closed, a white frame image is added to prevent it from being mistaken for a document, enabling successful cropping of black-region documents while maintaining compatibility with white-region documents.
Solution Approach 2:
The frame image color parameter is changed according to the platen cover state. By using a white frame image when the cover is closed, the system creates sufficient contrast to prevent erroneous document detection, thereby improving cropping reliability for both document types.
3Productivity
If image data on the inner side of the outer frame region is cropped without removing the outer frame region first, then the cropping process is simpler, but the outer frame region is mistakenly recognized as a single document causing cropping failure
Solution Approach 1:
The patent performs preliminary removal of the outer frame region image data before the cropping process. By pre-removing the outer frame region, the system prevents it from being mistakenly recognized as a document, thereby ensuring cropping accuracy without adding complex function switching requirements for users.
Data Source
AI summary
Included are: a platen on which documents to be read are placed; an image input unit configured to read in one or a plurality of documents placed on the platen at one time; a storage unit configured to store entire image data including individual images of the documents read in at one time; an outer frame region removing unit configured to remove, from the entire image data, image data of an outer frame region at a perimeter edge portion of the platen, having a predetermined width; and an individual image cropping unit configured to crop individual images of one or a plurality of documents, from the entire image data after the image data of the outer frame region has been removed.