基于盘古FPGA驱动的宽谱CMOS小腔体血管图像增强系统(特邀)

Wide-Spectrum CMOS Endoscopic Imaging Enhancement System Based on Pangu FPGA Driver(Invited)

为在小腔体条件下拍摄人体内部表面血管组织的图像,准确地将血管组织状态呈现出来,改善常规图像探测器尺寸大、不均匀光照条件下成像质量差、血管成像对比度低等问题,设计了一种电子内窥镜采集系统。该系统采用OV6946超小型图像探测器,具有300~1100 nm宽谱成像能力,由国产盘古FPGA驱动。通过改进限制对比度自适应直方图均衡化图像增强(CLAHE)算法,实现人体小腔体组织表面的血管图像增强。所提系统在非均匀光照下,针对小腔体内部组织成像具有更好的成像效果,改进CLAHE图像增强算法在提升血管组织成像对比度上具有更强的优势,为医用超细电子内窥系统或有类似需求的宽谱图像增强系统的推广提供了一种有效的技术解决方案。

To capture images of the internal surface vascular tissue of the human body under small cavity conditions,accurately present the state of vascular tissue,and address issues related to the large size of conventional image detectors,poor imaging quality under uneven lighting conditions,and low contrast of vascular imaging,an electronic endoscopic image acquisition system is designed.This system uses an OV6946 ultra-small image detector with a 300‒1100 nm-wide spectrum imaging capability and is driven by a domestic Pangu FPGA.By improving the contrast-constrained adaptive histogram equalization(CLAHE)algorithm,vascular images on the surface of small cavity tissues in human can be effectively enhanced.The proposed system provides superior imaging performance for tissue imaging within small cavities under nonuniform illumination.The improved CLAHE image enhancement algorithm significantly enhances the contrast of vascular tissue imaging,providing an effective technical solution for advancing medical ultrafine electronic endoscopic systems or broadband image enhancement systems with similar requirements.