Printer Driver Template Composite Area Detection
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Solution Overview
Problem
Conventional methods for using scan data as a background image in information processing devices require users to manually register and compose images, which is inconvenient.
Innovation Solution
A system and medium that enable an information processing device to automatically identify composite areas within a template image, obtain composition image data, generate output image data by composing the images within these areas, and output the resulting image, thereby simplifying the image composition process.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual registration of scan data is required to use it as a background image, then the information processing device can create composite images, but the user convenience deteriorates due to the inconvenient registration operation
Solution Approach 1:
The system automatically detects and extracts composite areas from template images without requiring user registration. The information processing device performs self-service by autonomously identifying where composition images should be placed, eliminating the need for manual area registration while maintaining composite image creation capability
Solution Approach 2:
The system pre-processes template images to automatically identify and mark composite areas before the actual composition operation. By performing preliminary detection and extraction of composite areas, the system prepares the template in advance, eliminating the need for users to perform registration operations at the time of composition
2Ease of operation
If automatic identification of composite areas is implemented, then user convenience improves, but the processing complexity increases
Solution Approach 1:
The system replaces manual mechanical operations (user registration and composition) with automated image processing algorithms. Computer vision techniques and pattern recognition algorithms automatically detect composite areas and perform composition, substituting manual mechanical processes with automated computational methods
Solution Approach 2:
The system extracts composite area information from template images through automated detection. By separating the composite area identification process from the composition process, the system can automatically extract relevant information (area locations, boundaries, and properties) without requiring full manual processing
Data Source
AI summary
The printer obtains template data from an application. Further, the printer drive obtains image data of a composition image from a scanner or a folder stored in a data storage area. The printer driver identifies, in a template image indicated by the template data, a composite area in which the composition image is to be composed based on the template data or information stored in the data storage area. Then, the printer driver generates image data of an image in which the composition image is composed in the identified composite area of the template image. With this configuration, the image in which the composition image is composed can be generated without requiring a user to obtain the composition images or without requiring the user to compose the composition image with the template image.