Development An Infrared Vein Imaging System For Earlier Stage Diagnosis Of The Leg Vein Varicosity

Subcutaneous veins detection is common critical research subject in recent era.Around the globe,numerous people are suffering Varicose veins diseases.Most of them are unable to discern the disease before reaching at acute level,where the treatment becomes more harsh and patient goes in worst condition.The device is designed to monitor the condition of veins in legs and stages of development varicose veins for early detection and observation of the disease.This device is developed by using IR technique.This work is based on the principle of nearinfrared imaging of subcutaneous veins,which defines certain differences in the absorption characteristics of near-infrared light between the subcutaneous veins and their surrounding tissues.The technique of near-infrared imaging provides an essential support in surgeries and analysis of the veins,which can achieve rapid diagnosis and early detection of diseases in human and animal veins.The blood vessels appear clearer and the image quality is better than other methods employed as such.The leg vein will be photographed by night cameras placed around the leg supported by infrared lights that illuminate the target areas on the leg.The device will automatically start the process and taking pictures.Various techniques programmed by the C ++ programming language were used to increase the visibility of the veins and individual logarithms were utilized to bring a clear image on screen.Whereas,three sides of the leg are displayed directly simultanously on the same screen same time.A set of intravenous nearinfrared imaging system has been established.A central wavelength of 850 nm ± 30 nm LED was used as a near-infrared light source,a CCD camera to capture the near-infrared light signal with vein blood vessel distribution information and later that information was converted it into an image signal,thus near-infrared imaging of the vein was achieved.Vein contrast enhancement is based on the absorption and scattering of near-infrared light by veins and their surrounding tissue at various degrees.Under the irradiation of LED near-infrared light with a central wavelength of 850 nm,infrared images were acquired through subcutaneous veins via CCD and collected later on.The image was processed by C++ software such as filtering,denoising,image enhancement and feature extraction to realize the enhancement of vein images.Then,the processed image was covered by the projection light path to the image collection point,so that the vein information is displayed more clearly and the contrast of the vein is effectively enhanced.Using C++ software in near-infrared image processing reduces program complexity and runtime.The adaptive histogram equalization with limited contrast is used to enhance the acquired vein image and the vein region is enhanced without enhancing the noise which can reduce the influence of uneven illumination.On the other,CLAHE enhancement method is verified to be more suitable for vein image segmentation by comparative experiments.This device will succor in Varicose veins detection and other related medical applications.