研究目的
To propose a method for improving vein image enhancement using high boost filter and conduct a preliminary study on back-projection using the intersection between camera view and projector view, with adjustment based on distance sensor.
研究成果
The high boost filter effectively enhances vein images, with segmentation achieving 84.62% accuracy and 89.66% sensitivity. The preliminary back-projection method successfully projects vein images but needs further development for real-time adjustment based on distance changes.
研究不足
The back-projection is currently in an offline system and not real-time; projection adjustment for distance changes is not fully implemented and requires future work; the system may have constraints in handling varying skin types or conditions.
1：Experimental Design and Method Selection:
The system uses a NoIR camera for vein image acquisition via NIR reflection method, a distance sensor (HC-SR04) to measure distance, and a mini projector for back-projection. Image processing includes preprocessing (ROI setting, high boost filter, Gaussian filter) and segmentation (adaptive thresholding, morphology operations, contour area analysis). Back-projection is based on the intersection of camera and projector views, adjusted with distance data.
2：Sample Selection and Data Sources:
Vein images are acquired from human subjects using the NIR reflection method, with specific placement of IR LEDs and camera.
3：List of Experimental Equipment and Materials:
NoIR camera, IR LEDs, mini projector, HC-SR04 distance sensor, Raspberry Pi, microcontroller, buzzer, battery.
4：Experimental Procedures and Operational Workflow:
Acquire vein images with IR LEDs on, process images through preprocessing and segmentation steps, use distance sensor data to adjust back-projection, and project enhanced vein images onto the skin.
5：Data Analysis Methods:
Performance evaluated using accuracy and sensitivity metrics from vein pattern identification, PSNR for filter comparison, and contour area analysis for noise removal.
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NoIR Camera
Acquires vein images without IR cut filter
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Infrared LED
Illuminates the object for NIR reflection to obtain vein patterns
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Mini Projector
Projects the enhanced vein image onto the skin
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Distance Sensor
HC-SR04
Measures the distance between the camera and the object for projection adjustment
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Raspberry Pi
Raspberry Pi
Processes vein images
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Microcontroller
Processes distance data from the sensor
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Buzzer
Serves as an alarm or indicator for best focus projection
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Battery
Powers the system
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