Scanner Image Processing Edge Correction and Clipping
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Solution Overview
Problem
Conventional scanners face challenges in processing scanned images with high precision due to the inclusion of unnecessary data from peripheral parts, such as scanner covers, which affects the accuracy of automatic image extraction.
Innovation Solution
A control program and image processing apparatus that performs a series of image processes, including clipping, edge correction, and characteristic acquisition, to isolate and refine the original image data from scan data, ensuring accurate extraction and processing by determining the appropriate image processes based on user settings.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If automatic image extraction is performed on scan data, then processing speed is improved, but measurement precision deteriorates due to inclusion of unnecessary peripheral data
Solution Approach 1:
The patent segments scan data into multiple regions including a first region (original image area), a second region (peripheral area with unnecessary data), and a third region (edge area). By dividing the image processing task into region-specific operations, the system can efficiently process only relevant areas while maintaining high precision for the extracted original image.
Solution Approach 2:
The patent extracts and removes unnecessary peripheral data from the scan data by identifying and isolating the first region containing the original image from the second region containing peripheral artifacts. This extraction process eliminates harmful factors while preserving the core image data, resolving the contradiction between processing speed and precision.
2Measurement precision
If clipping process is performed to remove outer scan data, then measurement precision is improved, but device complexity increases due to multiple processing steps
Solution Approach 1:
The patent merges multiple image processing operations (clipping, edge correction, and selective processing) into an integrated processing pipeline that operates on different regions simultaneously. By combining these functions into a unified system, the patent reduces operational complexity while maintaining high measurement precision through coordinated region-specific processing.
Solution Approach 2:
The patent performs preliminary clipping to generate second scan data containing only the first region before proceeding to more complex edge correction and characteristic acquisition processes. This preliminary action simplifies subsequent processing by eliminating unnecessary data early in the workflow, reducing overall device complexity while preserving precision.
3Manufacturing precision
If edge correction process is performed on all scan data, then manufacturing precision is improved, but loss of time increases due to processing unnecessary data
Solution Approach 1:
The patent applies edge correction process selectively only to the third region (edge area) and first region (original image area) while excluding the second region (peripheral area with unnecessary data). This local quality approach ensures high manufacturing precision for the relevant image areas without wasting processing time on unnecessary peripheral data.
Solution Approach 2:
The patent performs edge correction on only the necessary portions of the scan data (first and third regions) rather than the entire scan data set. This partial action approach maintains sufficient edge correction precision for the original image while significantly reducing processing time by excluding unnecessary peripheral regions.
Data Source
AI summary
In an information processing apparatus, a processor determines, on the basis of a setting value, at least one image process to be performed on the first scan data. The processor performs a clipping process on first scan data to generate second scan data including original scan data and not including outer scan data. The processor performs an edge correction process on the second scan data to generate third scan data by correcting edge data of the original scan data. The processor performs a characteristic acquisition process on the third scan data to acquire characteristic information indicating a characteristic of the third scan data. The processor performs a specific process on the second scan data by using the characteristic information in a case where both the clipping process and the characteristic acquisition process are determined to be performed and the edge correction process is determined not to be performed.