Image Processing Device for Precise Image Joining
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Solution Overview
Problem
Existing image processing devices face reduced precision in setting joining positions of images when combining two sets of scan data, leading to potential inaccuracies in generating combined image data.
Innovation Solution
An image processing device that acquires and processes first and second image data by selecting candidate regions within a search region, calculating similarity, and determining variance conditions to accurately align and combine images, ensuring precise positioning through iterative similarity calculations and variance assessments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If the same image process is used to join the first image with the second image regardless of image content, then the processing is simple and consistent, but the precision in setting joining positions deteriorates
Solution Approach 1:
The patent applies different image processing methods to different regions of the image based on local characteristics. Specifically, it divides the image into a first region (containing the first image) and a second region (containing the second image), and applies different joining processes to each region. This allows the system to maintain processing consistency through systematic regional division while achieving high joining position precision by selecting appropriate methods for each region's specific characteristics.
Solution Approach 2:
The patent changes processing parameters based on image content characteristics. It calculates variance of pixel values in different regions and uses this information to determine whether to apply a first joining process or a second joining process. By dynamically adjusting the processing method based on calculated parameters (variance values), the system achieves both consistency through systematic parameter selection and precision through content-adaptive processing.
2Extent of automation
If pattern matching is used to determine joining positions, then the process is automated, but the precision deteriorates when images have different characteristics
Solution Approach 1:
The patent implements a dynamic joining process that automatically adapts to different image characteristics. The system calculates variance values for different regions and automatically selects between a first joining process (for regions with certain variance characteristics) and a second joining process (for regions with different variance characteristics). This dynamic selection maintains full automation while achieving high precision by matching the processing method to the specific image content.
Solution Approach 2:
The patent uses feedback from variance calculations to control the joining process. The system calculates the variance of pixel values in each region, uses this feedback information to determine which joining process to apply, and thereby automatically adjusts the processing method to match image characteristics. This feedback mechanism ensures both automation and precision by making the process responsive to actual image content.
Data Source
AI summary
An image processing device performs: calculating a degree of similarity between a reference region in a first image and a candidate region in a second image; identifying a corresponding region in the second image; determining whether a first variance condition is met; and generating combined image data representing a combined image in which the first image is combined with the second image by overlapping the reference region with the corresponding region. In a first case where the first variance condition is met, once the calculating finds the degree of similarity greater than or equal to a reference value, the candidate region corresponding to the degree of similarity is identified with the corresponding region. In a second case where the first condition is not met, the identifying identifies a candidate region having a maximum degree of similarity with the corresponding region.