The Investigation And Design For Vein Image Processing Technology Based On The All Programmable SoC System

Venipuncture is one of the most common medical operations in the hospital. Needle puncture for obese patients and infant patients has always been a headache for the medical staff. With patients and parents' increasing sensitivity to the occurrence of multiple punctures, missing puncture or even puncture failure, the vein enhancement imaging system emerges at the right moment. Currently, the mainstream vein enhancement imaging system products on the market are mainly from Accu Vein and CHRISTIE. However, they are mostly restricted by the processing framework which is adopted. There will be obvious delays when more complicated processing algorithm or more processing operations are applied in order to achieve better imaging effect, thus it is difficult for them to meet the increasing demands in terms of instantaneity and intelligentization.In order to overcome the flaws such as obvious delays and low intelligentization in current products and improve the system imaging quality, this subject put forward and designed the real-time image processing framework based on Xilinx Zynq all programmable So C platform. It also focused on the study and implementation of vein enhancement imaging processing technology. The critical technologies for the subcutaneous vein imaging system put forward and designed independently in this subject include near-infrared light adaptive control technology, image contrast enhancement processing technology, in-situ large projection technology, etc.To be specific, the near-infrared light adaptive control technology can adjust the near-infrared light intensity of the system to make it adapt to the lighting conditions under different environment automatically. The subject adopts the design thought of ARM+FPGA synergy and the method based on image brightness information statistics and PID automatic control. The image contrast enhancement processing technology is required not only to effectively enhance the contrast between the subcutaneous veins and surrounding tissues, but to process it on a real-time basis. This subject herein put forward an improved algorithm based on Contrast Limited Adaptive Histogram Equalization(CLAHE) and realized it after a hardware design with FPGA, thus ideal effect has been achieved in terms of contrast enhancement and instantaneity. And the in-situ large projection technology realized the coincidence of projected veins and actual veins in respect of position and size. Finally, combined with the structure characteristics of Zynq all programmable So C platform, and with the vein enhancement imaging processing technology, an image processing framework was worked out for the subcutaneous vein imaging system. And through a combination of software and hardware design, a more intelligent subcutaneous vein imaging system with higher contrast and less delays was achieved. This system can assist the medical staff in locating the subcutaneous vein in patients effectively, thus increases the success rate of venipuncture operations.