Research On The Technology Of Micro Venous Imaging Based On Multi Spectral Imaging

Veins are important participants of human nutrition transmitting and metabolism. Inside body and subcutaneous vein distribution can reflect the human’s state of health, such as modern medicine proved that cancerous regions need a lot of nutrients so the veins distribute anomaly and intensively in this regions. For some obese baby, clear vein distribution could help doctor to inject intravenous. The red blood cells can absorb near infrared strongly. Traditional vein imaging method adopted near infrared imaging to get venous imaging. But image equipment of this method is too big to apply it to detect inside body. Moreover, it will lose the primary colors of the non-intravenous regional epidermis in the premise of prominent vein. The purpose of this paper was to get an image acquisition method that can be used in the body of vein, and proposed an algorithm which can not only keep the skin color but also highlights vein.To achieve the method and algorithm above, First, this paper needs a suitable device that is used both inside and outside the person’s body. This device was used to acquire near infrared and visible light image at the same time; then, registers the two images. Finally, adopts image fusion method to fuse the registers images containing near infrared image and visible light image.In order to obtain near infrared image and visible light image simultaneously, people needed to take near infrared camera and ordinary color camera to constitute a binocular system. But this method could not obtain an ultra-small integrated device, it also cannot be combined with the endoscope system to get inside body images. This paper proposed a kind of miniature vein imaging method based on a multi spectral imaging technology. The multi-spectral imaging device can got both near infrared and visible light images through MEMS technology.Before fusing the images, the two images should be registries before images fusion. There were differences between the two pieces of image spectral characteristics and imaging device. Moreover, the different positions existed obvious parallax in two images, which were obviously heterologous images. Besides, there may be geometric distortion, noise and other interference factors. Thus, it was needed to pretreat and register of the two images. The SURF feature descriptor has the character of scale invariance and rotation invariance. They could be well used in multi-sensor image registration, so this paper used this algorithm to register the near infrared and visible light images.At last, this paper proposed a near infrared and visible image fusion algorithm maintained color. This algorithm mainly used histogram mapping of near infrared and color image mapping to ensure the consistency of brightness, then use the PCA color residual enhance to ensure the fusion images kept original color with the visible light images. Fast bilateral filtering algorithm kept the details between visible light and near infrared image. Subsequently, the processed results are combined to obtain the fusion image of maintaining color and highlight the vein at the same time.