在眼科疾病检测中,为了对被检测者进行快速、准确、自动化的瞳孔定位,提出一种改进径向对称变换的瞳孔中心点定位算法。首先利用灰度积分投影法结合最大类间方差法,完成对人眼图像的粗分割,并根据多团块筛选条件提取出只包含瞳孔的感兴...在眼科疾病检测中,为了对被检测者进行快速、准确、自动化的瞳孔定位,提出一种改进径向对称变换的瞳孔中心点定位算法。首先利用灰度积分投影法结合最大类间方差法,完成对人眼图像的粗分割,并根据多团块筛选条件提取出只包含瞳孔的感兴趣区域(Region Of Interest,ROI)。然后对ROI采用最小外接矩形结合灰度级形态学线性滤波方法,完成搜索半径范围的设置。最后,利用改进的径向对称变换算法进行瞳孔中心点定位。实验结果表明:本文算法的定位误差在8 pixel以内,平均定位时间为0.366 s,能够适应人眼图像中噪声干扰、采集不完整等大量非理性状态,满足多种红外眼科疾病检测设备对瞳孔定位算法的要求。展开更多
Multi-channel detection is an effective way to improve data throughput of spectral-domain optical coherence tomography(SDOCT).However,current multi-channel OCT requires multiple detectors,which increases the complexit...Multi-channel detection is an effective way to improve data throughput of spectral-domain optical coherence tomography(SDOCT).However,current multi-channel OCT requires multiple detectors,which increases the complexity and cost of the system.We propose a novel multi-channel detection design based on a single spectrometer.Each camera pixel receives interferometric spectral signals from all the channels but with a spectral shift between two channels.This design effectively broadens the spectral bandwidth of each pixel,which reduces relative intensity noise(RIN)by√M times with M being the number of channels.We theoretically analyzed the noise of the proposed design under two cases:shot-noise limited and electrical noise or RIN limited.We show both theoretically and experimentally that this design can effectively improve the sensitivity,especially for electrical noise or RIN-dominated systems.展开更多
文摘在眼科疾病检测中,为了对被检测者进行快速、准确、自动化的瞳孔定位,提出一种改进径向对称变换的瞳孔中心点定位算法。首先利用灰度积分投影法结合最大类间方差法,完成对人眼图像的粗分割,并根据多团块筛选条件提取出只包含瞳孔的感兴趣区域(Region Of Interest,ROI)。然后对ROI采用最小外接矩形结合灰度级形态学线性滤波方法,完成搜索半径范围的设置。最后,利用改进的径向对称变换算法进行瞳孔中心点定位。实验结果表明:本文算法的定位误差在8 pixel以内,平均定位时间为0.366 s,能够适应人眼图像中噪声干扰、采集不完整等大量非理性状态,满足多种红外眼科疾病检测设备对瞳孔定位算法的要求。
基金supported by the Singapore Ministry of Health’s National Medical Research Council under its Open Fund Individual Research Grant(No.MOH-000384)the Singapore Ministry of Education under its Academic Research Funding Tier 2(No.MOE-T2EP30120-0001)+1 种基金the Academic Research Funding Tier 1(No.RG35/22)the China Scholarship Council,and the National Natural Science Foundation of China(NSFC)(No.12004381)。
文摘Multi-channel detection is an effective way to improve data throughput of spectral-domain optical coherence tomography(SDOCT).However,current multi-channel OCT requires multiple detectors,which increases the complexity and cost of the system.We propose a novel multi-channel detection design based on a single spectrometer.Each camera pixel receives interferometric spectral signals from all the channels but with a spectral shift between two channels.This design effectively broadens the spectral bandwidth of each pixel,which reduces relative intensity noise(RIN)by√M times with M being the number of channels.We theoretically analyzed the noise of the proposed design under two cases:shot-noise limited and electrical noise or RIN limited.We show both theoretically and experimentally that this design can effectively improve the sensitivity,especially for electrical noise or RIN-dominated systems.
