Image Processing System Detecting Undesired Objects in Scanned Images
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Solution Overview
Problem
Existing image processing systems cannot effectively identify and prevent resubmission of scanned images due to undesired objects that obstruct visibility, such as dirt or slips, especially when these objects do not overlap with the margin areas of the original.
Innovation Solution
An image processing system that includes a scanned image generation unit, an identification unit to detect continuous pixel areas with high pixel values and sufficient area size, a determination unit to assess if these areas are undesired objects, and a notification unit to alert users before submitting the image, ensuring that only clear images are sent to the management server.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the existing technique (Japanese Laid-Open Patent Publication No. 2015-159427) is used to identify slip areas, then slip areas overlapping margin areas can be detected, but undesired objects inside the margin area cannot be identified
Solution Approach 1:
The image processing is segmented into multiple functional units: an identification unit that detects continuous pixel areas with high density values, a determination unit that evaluates whether these areas represent undesired objects, and a notification unit that alerts users. This segmentation allows comprehensive detection throughout the entire image area, not limited to margin regions only.
Solution Approach 2:
The detection approach transitions from margin-area-specific detection to full-image scanning by examining pixel density distribution across the entire image dimension. The system identifies continuous pixel areas regardless of their position, enabling detection of undesired objects anywhere in the scanned image including within margin areas.
2Productivity
If scanned images are submitted without prior inspection, then submission process is fast, but resubmission is required when undesired objects obstruct visibility
Solution Approach 1:
The system performs preliminary inspection by automatically analyzing the scanned image for continuous pixel areas with high density values before submission. The identification unit detects potential undesired objects, the determination unit assesses their impact on visibility, and the notification unit alerts users to issues before the image is submitted, preventing resubmission and maintaining both efficiency and reliability.
Solution Approach 2:
The notification unit provides immediate feedback to users about detected undesired objects that may obstruct visibility. This feedback mechanism allows users to correct issues before submission, ensuring image quality while maintaining a streamlined submission process without requiring manual inspection of every image.
Data Source
AI summary
An image processing system capable of preventing resubmission of a scanned image from being required due to an undesired object which obstructs visibility. The image processing system includes a scanned image generation unit configured to read an original and generate a scanned image of the read original, and submits an image to a management server. A continuous pixel area which includes a plurality of pixels whose pixel values are higher than a predetermined density threshold value and has an area size equal to or larger than a predetermined value is identified from a scanned image. Whether or not the identified continuous pixel area is an area of an undesired object which obstructs visibility is determined. A continuous pixel area determined as the area of an undesired object is notified to a user before the scanned image is submitted to the management server.