Automated Image Layout Adjustment via Object Detection
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Solution Overview
Problem
Current design software lacks the ability to automatically modify image layouts, requiring manual effort from designers and limiting efficiency.
Innovation Solution
An image processing method that determines an object within an image and selects a suitable adjustment strategy from mirror and position translation strategies to automatically adjust the object, improving layout modification automation and effectiveness.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If manual modification functions (layer image replacement and layer color replacement) are provided, then designers can perform basic modifications, but the modification capabilities are limited and cannot achieve automatic layout modification
Solution Approach 1:
The system automatically identifies objects in the image and selects appropriate adjustment strategies (mirror strategy or position translation strategy) without requiring manual intervention for each modification. The computer vision model and adjustment mechanism work autonomously to perform layout modifications based on detected object information, achieving self-service modification capabilities.
Solution Approach 2:
The patent changes the state of modification from manual parameter adjustment to automated parameter application. By detecting object information and automatically selecting adjustment strategies, the system transforms the modification process from requiring designer input to automatically applying transformation parameters (mirror or translation) to the detected objects.
2Productivity
If existing design software provides only manual modification functions, then the software remains simple to operate, but it cannot satisfy diverse designer needs for automatic modification
Solution Approach 1:
The patent replaces the mechanical manual modification process with an automated computer vision-based system. Instead of requiring designers to manually select and modify layers, the system uses image processing algorithms to automatically detect objects and apply modifications, substituting manual mechanical operations with automated computational processes.
Solution Approach 2:
The system provides multiple modification capabilities through a unified automated framework. By implementing both mirror strategy and position translation strategy within the same system, it achieves multi-functionality for different types of layout modifications, making the software universally applicable to various design needs without requiring separate tools for each function.
Data Source
AI summary
Embodiments of the present application provide a method and an apparatus for image processing. The method includes the following steps: determining an object for adjustment in an image, the object embedded in the image; determining, based on information corresponding to the object, a target adjustment strategy from a mirror strategy and a position translation strategy; and adjusting the object in the image based on the target adjustment strategy. In the technical solutions according to the embodiments of the present application, the information of the object embedded in the image is used, so a target adjustment strategy suitable for the object is determined from the mirror strategy and the position translation strategy, and the object is adjusted in the image based on the target adjustment strategy, thereby improving the degree of automation and the effectiveness of layout modification.