Screenshot Processing via Contour Recognition for Candidate Area Selection
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Solution Overview
Problem
Existing screenshot methods require numerous operating steps and cannot quickly capture images that meet user expectations, making them inconvenient for practical applications.
Innovation Solution
A screenshot processing method that involves contour recognition to determine candidate capturing areas, allowing users to select target capturing areas based on these candidates in response to screenshot operation instructions, and then performing the screenshot operation accordingly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If traditional screenshot methods are used, then screenshot functionality is provided, but numerous operating steps are required and user expectations cannot be quickly met
Solution Approach 1:
The system performs preliminary contour recognition on the current screen to pre-process and identify potential capturing areas before the user actually initiates the screenshot operation. This preliminary action prepares candidate areas in advance, so when the user triggers the screenshot function, the system can quickly present pre-identified options rather than requiring manual selection from scratch, thereby reducing both the number of steps and time required.
Solution Approach 2:
The system automatically performs contour recognition and generates candidate capturing areas without requiring user intervention. The screenshot operation serves itself by having the system autonomously identify and present relevant areas, reducing the need for manual操作步骤 and enabling faster completion of the screenshot task while still allowing user selection when needed.
2Measurement precision
If manual screenshot selection is used, then user control is maintained, but the process becomes complex and time-consuming
Solution Approach 1:
The system introduces an intermediate processing layer that performs automatic contour recognition to generate candidate capturing areas. This intermediary step acts as a mediator between the user's screenshot request and the final capturing action, automatically filtering and presenting relevant areas. This reduces the complexity of manual selection while maintaining accuracy, as the intermediary system handles the complex recognition task and presents simplified options to the user.
3Productivity
If automatic contour recognition is performed, then candidate areas are identified quickly, but additional processing steps are added
Solution Approach 1:
The contour recognition and candidate area generation are performed as preliminary actions that prepare the system for the actual screenshot operation. By completing the complex recognition task in advance and storing candidate areas, the system achieves fast processing during the actual screenshot moment without adding complexity to the user-facing workflow, as the preliminary processing occurs automatically in the background.
Data Source
AI summary
A screenshot processing method, relating to the technical field of image processing. The method includes: performing contour recognition on the current picture so as to determine, according to the obtained contour recognition result, a candidate capturing area (S210); in response to an instruction of a screenshot operation, determining at least one target capturing area in the current picture according to the instruction of the screenshot operation and the candidate capturing area (S220); and performing the screenshot operation on the current picture on the basis of the at least one target capturing area so as to generate a target image (S230).