Skin Color Detection Using Saturated Area Correction
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Solution Overview
Problem
Conventional methods for detecting skin color areas in images, especially under varying light environments and when skin colors are saturated, struggle to accurately extract these areas due to the influence of high brightness and mixed light sources, leading to incomplete aesthetically-enhanced images with noise from undetected skin regions.
Innovation Solution
The method involves skin color level and saturated level calculations in the HSV color space, adjusting weights based on hue component distributions, and determining skin and saturated situations to correctly identify and enhance skin areas, even in challenging lighting conditions, by generating a skin map that includes both high and low skin color likelihoods and saturated areas.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional skin color detection methods using HSV color space are used, then the detection process is simple, but the detection accuracy deteriorates under varying light environments and saturated skin colors
Solution Approach 1:
The patent segments the skin color detection process into multiple independent stages: initial skin color area detection, saturated area detection, and correction processing. Each stage focuses on specific aspects (hue-based skin color identification, value and saturation-based saturated area identification, and integration of results), allowing complex multi-parameter analysis to be broken down into manageable sequential steps that improve accuracy without overwhelming system complexity
Solution Approach 2:
The patent dynamically adjusts the detection strategy by first performing standard skin color detection, then identifying saturated areas that require correction, and finally integrating both results. This dynamic multi-stage approach adapts to varying light conditions and skin color saturation levels, improving detection accuracy across different scenarios while maintaining a structured process framework
2Measurement precision
If skin color areas are detected under high brightness and mixed light sources, then the processing speed is fast, but the detection accuracy deteriorates due to saturated skin colors
Solution Approach 1:
The patent performs preliminary saturated area detection using value and saturation components before final skin color area determination. By pre-identifying saturated regions that may be missed by conventional hue-based methods, the system prepares correction data in advance, ensuring accurate skin color detection in high brightness conditions without requiring multiple full re-detections
Solution Approach 2:
The patent introduces saturated area detection as an intermediary step between initial skin color detection and final correction. This intermediary process uses value and saturation information to identify regions requiring correction, acting as a bridge that connects initial detection results with final accurate skin color mapping, thereby improving overall detection accuracy while maintaining processing efficiency
3Reliability
If conventional skin color detection is used, then the method is simple, but noise from undetected skin regions appears in enhanced images
Solution Approach 1:
The patent merges the results of initial skin color area detection with saturated area detection to produce a comprehensive corrected skin color area. By combining these two detection results, the system eliminates gaps and noise in the enhanced image while maintaining a unified detection framework, improving image reliability without excessive complexity
Solution Approach 2:
The patent implements a feedback mechanism where saturated area detection results are used to correct and refine the initial skin color area detection. The correction processing uses feedback from saturated area identification to adjust and完善 the skin color area mapping, ensuring that undetected skin regions are properly identified and excluded from enhanced images, thereby improving output reliability
Data Source
AI summary
An image capture apparatus includes a skin map generation processing unit and an image composition unit. The skin map generation processing unit detects a skin color area in an image. The skin map generation processing unit detects a saturated area of high value and low saturation in the image. The image composition unit executes processing of correcting the skin color area detected by the skin map generation processing unit by using the saturated area detected by the skin map generation processing unit.