Image Joining Method Using Displacement Data for Alignment
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Solution Overview
Problem
Conventional image joining methods for portable scanners are time-consuming due to the need for calculating image alignments, resulting in poor user experience.
Innovation Solution
An image joining method that utilizes displacement data to quickly align and join images by dividing line images into blocks, calculating feature values, and using these values to determine joining points, while also adjusting pixel density and color scales for a natural blend.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional image joining method calculates segmented images respectively captured in several times to find image alignments, then image alignment accuracy is improved, but operation time becomes long
Solution Approach 1:
The patent applies preliminary action by obtaining displacement data during the image capturing process itself, rather than calculating alignments after capturing. The displacement data is collected in real-time as the scanner moves, allowing the joining process to start with pre-computed alignment information, thus reducing post-processing time while maintaining accuracy.
Solution Approach 2:
The patent extracts only the necessary displacement data from the capturing process, separating this critical alignment information from the full image processing workflow. By taking out just the displacement data needed for alignment, the system avoids unnecessary calculations on entire images while preserving alignment accuracy.
2Measurement precision
If image alignments are required to be determined by the users, then alignment accuracy can be improved, but user time consumption increases and user experience deteriorates
Solution Approach 1:
The patent implements self-service by enabling the system to automatically determine image alignments using displacement data obtained during capturing. The scanner itself provides the alignment information through its motion tracking, eliminating the need for user intervention in the alignment process while maintaining high accuracy.
Solution Approach 2:
The system uses feedback from the displacement data collected during capturing to automatically adjust and determine image alignments. The displacement information provides real-time feedback on scanner position, allowing the system to self-correct and establish accurate alignments without user input.
Data Source
AI summary
An image jointing method includes steps of obtaining a first image, a second image including a line image, and a displacement data, dividing a specific region of the line image as image blocks and calculating to obtain feature values corresponded to the image blocks, comparing the feature values and utilizing an initial coordinate of the image block corresponding to the maximum of the feature values as a feature point representing the line image, corresponding the feature point to a base point of the first image according to the displacement data and obtaining a first jointing point corresponding to the first image and a second jointing point corresponding to the second image according to the base point and the feature point, and jointing the first image and the second image through the first jointing point and the second jointing point, thereby significantly reducing the operation time and enhancing the user experiences.