Image Skew Correction via Position Data and Coordinate Adjustment
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Solution Overview
Problem
Handy scanners often introduce errors during image capture, leading to image skew that cannot be precisely corrected through simple rotation, especially as image length increases, resulting in suboptimal digital conversion of paper-type documents.
Innovation Solution
An image capture and correction method that utilizes position information to calculate skewed angles, sets coordinate values as target values, and applies correction values using a polygon interior angle sum approximation algorithm and polar coordinate formula to accurately correct image skew.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If simple rotation is used to correct image skew, then the correction process is simple, but the skew cannot be precisely corrected, especially for longer images
Solution Approach 1:
The patent divides the image correction process into multiple segments: first calculating the skewed angle through position information, then processing each coordinate value individually through target value and correction value calculations. This segmentation allows precise correction of each point while maintaining overall simplicity.
Solution Approach 2:
The patent applies different correction methods to different parts of the image. Instead of a single global rotation, it calculates correction values for each coordinate value based on its specific position and the skewed angle, ensuring that each local area receives appropriate correction tailored to its characteristics.
2Device complexity
If integral rotation is applied to correct skew, then the correction operation is straightforward, but the skew remains in rotated images when image length increases
Solution Approach 1:
The patent performs preliminary calculations before the actual correction. It first obtains position information, calculates the skewed angle, and determines target values for each coordinate. These preliminary actions enable precise correction values to be computed, ensuring accurate skew correction even for longer images before the correction operation begins.
Solution Approach 2:
The patent incorporates a feedback mechanism where the correction operation is judged to determine whether to continue. The process iteratively refines correction values based on the judged results, allowing the system to adapt and improve correction accuracy progressively, ensuring that skew is fully corrected even as image length increases.
Data Source
AI summary
An image capture and correction method includes steps of providing an image capture device, moving the image capture device along a specific direction to obtain an captured image and position information, performing a correction operation to the captured image, calculating to obtain a skewed angle according to the position information, setting a coordinate value of the captured image as a target value, calculating to obtain a correction value according to the target value and the skewed angle, replacing the target value with the correction value, and judging whether to continue the correction operation. Then, the correction operation is finished and the corrected captured image is stored. Therefore, the skew of the captured image is corrected, a more accurate correction value is obtained, and the advantages of precisely correcting the captured image are achieved.