Two-Dimensional Rapport Generation via Image Segmentation
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Solution Overview
Problem
Existing methods for generating two-dimensional rapports require either an empty outline or pre-designed image continuity, limiting flexibility and applicability.
Innovation Solution
A computer-implemented method that divides an image into portions using intersecting cutting lines and displaces them to diametrically opposite positions, forming a closed contour, followed by a filling step to ensure image continuity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the outline of the rapport is empty to guarantee continuity, then the image continuity is improved, but the design flexibility and visual richness deteriorate
Solution Approach 1:
The method divides the image into multiple portions using cutting lines, allowing each segment to be independently processed and repositioned. This segmentation enables the creation of continuous patterns from non-empty outlines by strategically arranging divided portions.
Solution Approach 2:
The invention transitions from two-dimensional image manipulation to three-dimensional spatial arrangement by displacing portions to diametrically opposite positions. This dimensional transformation allows portions to connect seamlessly when repeated, solving the continuity problem while preserving the original image content.
2Reliability
If the image is designed with pre-established continuity for repetition, then the pattern formation is improved, but the ease of use with arbitrary images deteriorates
Solution Approach 1:
The method performs preliminary division of the image into portions and calculates displacement positions before repetition. This pre-processing step automatically establishes the continuity requirements, eliminating the need for users to manually design continuous patterns while ensuring reliable pattern formation.
Solution Approach 2:
The system automatically handles the continuity establishment by dividing and repositioning image portions based on mathematical relationships (diametrically opposite positions). The method makes the pattern formation process self-service, requiring no manual intervention for continuity design while working with any arbitrary input image.
3Adaptability or versatility
If cutting lines divide the image into multiple portions, then the ability to create continuous patterns from any image is improved, but the device complexity increases
Solution Approach 1:
The method changes key parameters including the number and orientation of cutting lines, and the displacement distance (diametrically opposite positions). By systematically varying these parameters, the invention achieves universal applicability to any image while maintaining a structured, manageable process.
Data Source
AI summary
A computer-implemented method for generating a two-dimensional rapport starting from an image. The method includes a division step in which the image is divided into at least three portions by at least a first cutting line and a second cutting line that intersect one another. Each of the at least three portions including a part of the image and an inner contour generated by the cutting lines. The method also includes a displacement step in which the rapport is generated by displacing each of the at least three portions linearly to a diametrically opposite position, such that the rapport includes a closed contour formed by at least part of the inner contours of the at least three portions.