Image Processing Apparatus Brightness Correction Edge Detection
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Solution Overview
Problem
In image processing, uneven brightness in the background region due to inclination or flexure of the background unit can lead to false detection of edge points between the document and background regions, reducing detection accuracy.
Innovation Solution
An image processing apparatus that corrects pixel brightness on a main scan line outside the document region using brightness data from adjacent scan lines, allowing for accurate edge point detection by minimizing background brightness fluctuations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If brightness correction is performed using only a single main scan line outside the document region, then the correction process is simple, but the background brightness fluctuation due to inclination or flexure cannot be adequately corrected
Solution Approach 1:
The patent divides the background region into multiple segments along the main scan line direction and uses multiple main scan lines (first, second, and third main scan lines) to capture brightness variations at different positions. This segmentation allows the system to detect and correct local brightness fluctuations caused by inclination or flexure without requiring a complex correction model, thereby improving edge point detection accuracy while maintaining reasonable process complexity.
Solution Approach 2:
The patent transitions from using a single main scan line to utilizing multiple main scan lines (first, second, and third) at different positions relative to the document region. This dimensional expansion from one scan line to three scan lines provides additional information about brightness variations across the background region, enabling more accurate correction of brightness fluctuations while maintaining computational efficiency.
2Reliability
If a larger threshold is used for edge detection to account for brightness variations, then false detection is reduced, but detection sensitivity decreases
Solution Approach 1:
The patent performs preliminary brightness correction on the background region by comparing the first main scan line with the second and third main scan lines before edge detection is performed. This preliminary action removes the brightness fluctuations caused by inclination or flexure, creating a normalized background that allows the use of a smaller, more sensitive threshold for edge detection without risking false detections, thus simultaneously improving both reliability and precision.
Solution Approach 2:
The patent uses the brightness information from the second and third main scan lines as feedback to correct the brightness values on the first main scan line. This feedback mechanism continuously adjusts the brightness correction based on the actual measured brightness variations, enabling the system to maintain optimal edge detection parameters and achieve both high reliability and precision.
3Stability of the object's composition
If brightness correction uses data from multiple main scan lines, then background brightness stability is improved, but processing time increases
Solution Approach 1:
The patent applies local quality correction by using the second and third main scan lines (which are locally adjacent to the first main scan line) to correct brightness variations only in the specific regions where fluctuations occur. This localized approach focuses computational resources on the most critical areas near the document region rather than processing the entire background uniformly, thereby achieving high brightness stability with reduced processing time.
Solution Approach 2:
The patent uses a partial action approach by selecting only the necessary number of main scan lines (first, second, and third) to achieve adequate brightness correction. Rather than using all available scan lines or performing exhaustive correction, the system identifies and corrects only the most significant brightness variations using a limited set of strategically selected scan lines, balancing correction effectiveness with processing efficiency.
Data Source
AI summary
An image processing apparatus including, an input unit for inputting image data including a document region, a storage for storing the brightness of each pixel on a first main scan line outside the document region, a corrector for correcting the brightness of each pixel on the first main scan line in accordance with the brightness of pixels in a first part and the brightness of pixels in a second part on a second main scan line following the first main scan line, and an edge point detector for detecting an edge point of the document region situated on the second main scan line in accordance with the difference between the brightness of each pixel on the first main scan line corrected and the brightness of each pixel on the second main scan line respectively corresponding to each pixel on the first main scan line.


