Image Processing Apparatus Automatic Subject Background Region Specification
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Solution Overview
Problem
Existing image processing methods require manual specification of seeds to differentiate between subject and background regions in images, which is inefficient and user-dependent.
Innovation Solution
An image processing apparatus and method that automatically specify subject and background regions by comparing representative colors of image regions with a predetermined color, generating an extraction-use background color, and using it to identify subject and background constituent regions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual seed specification is used to differentiate subject and background regions, then the accuracy of region classification can be improved, but the operation complexity and time consumption increase significantly
Solution Approach 1:
The system performs automatic seed region specification without requiring user intervention. The processing apparatus autonomously identifies and designates seed regions by analyzing image characteristics, thereby eliminating the need for manual user operations while maintaining accurate subject-background differentiation
Solution Approach 2:
The system changes the approach from manual coordinate specification to automatic region identification based on image parameters. By analyzing color distributions, luminance variations, and spatial characteristics, the system dynamically determines seed regions without requiring user input, thus improving ease of operation while preserving classification accuracy
2Adaptability or versatility
If manual seed specification is required for subject-background differentiation, then the processing can be customized to user needs, but the processing time and efficiency are reduced
Solution Approach 1:
The processing apparatus autonomously performs seed region specification and subsequent subject-background differentiation without requiring user customization inputs. The system automatically adapts to different images by analyzing their specific characteristics, thereby maintaining versatility while dramatically improving processing efficiency through automation
Solution Approach 2:
The system performs preliminary automatic analysis of image characteristics before the actual subject-background differentiation process. By pre-identifying seed regions and establishing initial classifications automatically, the system eliminates the need for user customization steps while maintaining the ability to handle diverse image types efficiently
Data Source
AI summary
An image processing apparatus includes: an obtaining section which obtains a subject existing image in which a subject and a background exist; a first specification section which specifies a plurality of image regions in the subject existing image; a comparison section which compares a representative color of each of the image regions with a predetermined color; a generation section which generates an extraction-use background color based on a comparison result of the comparison section; and a second specification section which specifies a subject constituent region constituting the subject and a background constituent region constituting the background in the subject existing image based on the extraction-use background color.