Skin Detection Image Fusion Using Segmented Exposure and Feature Extraction
Solution Overview
Problem
Conventional skin health detection methods using images lack precision due to varying imaging quality, making it difficult to provide convenient, accurate, and professional evaluations anywhere and anytime.
Innovation Solution
An image detection method and apparatus that processes images based on specific skin features, using preset rules for image processing, such as illumination equalization and contrast transfer, to enhance detection precision, and combines detection-specific images with normal images for accurate skin health assessment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional photographing technology is used for skin detection, then the device is convenient and accessible, but the imaging quality does not meet detection precision requirements
Solution Approach 1:
The patent segments the imaging process into multiple stages: capturing multiple images with different exposure times, processing each image separately to extract specific feature information, and then fusing the processed images. This segmentation allows each stage to be optimized for its specific purpose, achieving professional detection precision using conventional camera hardware.
Solution Approach 2:
The patent introduces the dimension of time by capturing images at different exposure times (short exposure for highlight details, long exposure for shadow details). This temporal dimension allows the system to extract information that would be lost in a single conventional image, thereby improving detection precision without requiring more complex hardware.
2Measurement precision
If multiple images with different exposure times are captured and processed, then detection accuracy is improved, but processing time and computational complexity increase
Solution Approach 1:
The patent performs preliminary processing on each captured image immediately after acquisition, extracting key skin features (such as pore details from short-exposure images and overall texture from long-exposure images) before fusion. This preliminary action reduces the complexity of the subsequent fusion process and enables faster overall processing compared to handling full-resolution images.
Solution Approach 2:
The patent extracts only the essential skin detection features from each image rather than processing and fusing complete images. By taking out and processing only the relevant feature information (such as pore size, skin texture, color distribution), the system achieves high detection accuracy while minimizing processing time and computational resources.
Data Source
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AI summary
Embodiments of the present invention relate to an image detection method and apparatus and a terminal, and relate to the field of multimedia technologies. A specific method includes: determining, by a terminal in a skin detection mode, a to-be-detected original image based on a to-be-detected feature; processing the to-be-detected original image according to a preset rule corresponding to the to-be-detected feature, to obtain a detection-specific image; determining a normal image; detecting the detection-specific image, to determine a detection result image; and determining a to-be-displayed image based on the detection result image and the normal image. In this solution, a to-be-detected original file is processed and detected in the skin detection mode, to obtain the detection-specific image, the detection result image is determined based on the detection-specific image, and then the detection result image and the normal image are matched and fused, to obtain the to-be-displayed image. This resolves problems that imaging quality does not meet a requirement for detection precision of health detection, and convenient, accurate, and professional skin health detection and evaluation cannot be provided for a user anywhere and anytime.