Dual-Threshold Wrinkle Detection Reducing Processing Load
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Solution Overview
Problem
Conventional wrinkle detection methods require high processing loads, especially when detecting wrinkles in moving images or using battery-operated devices, leading to inefficiencies in accuracy and resource utilization.
Innovation Solution
A wrinkle detection apparatus that employs a dual-threshold processing system, where a first threshold and a second threshold are applied to detect edge areas, and the overlapping areas between these detections are used to determine the wrinkle area, reducing the need for repeated threshold adjustments and vicinity searches.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional wrinkle detection methods use repeated threshold switching and vicinity searching, then detection accuracy is improved, but processing load increases significantly
Solution Approach 1:
The patent applies preliminary action by performing threshold processing to detect edge areas before final wrinkle determination. The first threshold processing detects a first edge area, the second threshold processing detects a second edge area, and these preliminary detections are combined to determine the wrinkle area, avoiding the need for repeated threshold switching and vicinity searching while maintaining high detection accuracy
Solution Approach 2:
The patent segments the wrinkle detection process into distinct threshold processing stages. By dividing the detection into first threshold processing and second threshold processing that operate independently to detect different edge areas, the system eliminates the need for repeated processing and vicinity searching, thereby reducing processing load while maintaining accuracy
2Reliability
If conventional methods perform repeated processing for threshold switching and vicinity searching, then detection completeness is improved, but energy consumption increases
Solution Approach 1:
The patent performs preliminary threshold processing to detect edge areas before final wrinkle determination. By completing the detection work in advance through systematic threshold processing rather than repeated searching, the system reduces the number of processing cycles required, thereby lowering energy consumption while maintaining detection completeness
Solution Approach 2:
The patent uses multiple threshold processing operations to create different edge area detections that are then combined. This approach of creating multiple detection copies through different threshold levels and combining them ensures comprehensive detection without requiring repeated vicinity searching, thus reducing energy consumption
3Measurement precision
If dual-threshold processing is used to detect edge areas, then false positive detection is reduced, but processing complexity increases
Solution Approach 1:
The patent segments the detection process into first threshold processing and second threshold processing that operate independently. This segmentation allows each processing stage to focus on specific edge detection tasks, reducing false positives through multiple independent detections while keeping each individual processing module relatively simple
Solution Approach 2:
The patent merges the results of first threshold processing and second threshold processing to determine the final wrinkle area. By combining multiple simple threshold-based detections rather than using a single complex processing system, the approach reduces false positives while maintaining processing system simplicity
Data Source
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AI summary
A wrinkle detection apparatus is an apparatus for detecting a wrinkle area of skin included in an image. The wrinkle detection apparatus includes a first threshold processing unit that detects a first edge area included in the image by performing first threshold processing for comparing a gradient value that indicates a degree of change in pixel values in the image with a first threshold, a second threshold processing unit that detects a second edge area included in the image by performing second threshold processing for comparing the gradient value with a second threshold, and an edge selection processing unit that determines a wrinkle area based on an overlapping area in which the first edge area and the second edge area are overlapped.