Image Processing Apparatus for Automatic Leg Region Deformation
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Solution Overview
Problem
Existing image processing methods require manual operations and multiple adjustments to achieve optimal results, such as 'leg slimming' or 'leg stretching' effects, which are time-consuming and inefficient.
Innovation Solution
A method and apparatus for image processing that automatically identifies a target object, determines contour and target lines of the leg region, and performs deformation processing to generate a second image, using an image deformation algorithm for compression or stretching along the leg width direction, allowing for automatic adjustment of the leg region without user intervention.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual operations are used for image processing adjustments, then the operator can control the processing parameters, but the process becomes time-consuming and requires multiple adjustment operations
Solution Approach 1:
The system automatically identifies the target object, determines contour lines and target lines, and performs deformation processing without requiring manual operator intervention. The image processing apparatus executes the entire workflow autonomously based on pre-set algorithms, eliminating the need for repeated manual adjustments while maintaining processing quality
Solution Approach 2:
The system performs preliminary identification of the target object and preliminary determination of contour and target lines before the actual deformation processing. This pre-processing stage automatically establishes the necessary parameters and boundaries, so that the subsequent deformation can be executed directly without requiring manual setup or multiple adjustment iterations
2Manufacturing precision
If multiple adjustment operations are performed to achieve optimal effect, then the processing precision can be improved, but the complexity of the process increases
Solution Approach 1:
The system replaces the manual mechanical adjustment process with an automated computational system. The image processing apparatus uses algorithms to automatically determine deformation parameters and execute processing, substituting the complex iterative manual adjustment process with a streamlined automated computation and execution system that achieves the same or better precision with simpler operational complexity
3Productivity
If automated image processing is implemented, then the processing efficiency is improved, but the naturalness and harmony of the deformation effect may be compromised
Solution Approach 1:
The system applies different processing strategies to different regions of the image. The deformation processing is localized to the identified target object and its specific contours, with the target line serving as a reference for natural deformation. This localized approach ensures that each region is processed appropriately to maintain natural appearance while achieving overall processing efficiency
Solution Approach 2:
The system uses the determined contour line and target line as feedback references during the deformation processing. The target line serves as a guide to ensure the deformation maintains natural proportions and harmony, while the contour line provides boundary feedback to constrain the deformation within appropriate limits, ensuring the automated processing produces natural-looking results
Data Source
AI summary
A method and apparatus for method for image processing, and a computer storage medium are provided. The method includes: obtaining a first image, identifying a target object in the first image, and obtaining leg detection information of the target object; respectively determining a contour line and a target line of a leg region of the target object based on the leg detection information; and performing image deformation processing on the leg region based on the contour line and the target line of the leg region to generate a second image.