苹果的可见光谱目标的高效、精准识别是实现果园测产或机器自动采摘作业的关键,由于绿色目标果实与枝叶背景颜色较为相近,因此绿色苹果的识别成为新的挑战。再由于果园实际复杂环境因素影响,如光照、阴雨、枝叶遮挡、目标重叠等情况,现...苹果的可见光谱目标的高效、精准识别是实现果园测产或机器自动采摘作业的关键,由于绿色目标果实与枝叶背景颜色较为相近,因此绿色苹果的识别成为新的挑战。再由于果园实际复杂环境因素影响,如光照、阴雨、枝叶遮挡、目标重叠等情况,现有的目标果实识别方案难以满足测产或自动采摘的实时、精准作业需求。为更好地实现果园自然环境中绿色目标果实识别问题,提出一种新的核密度估计优化的聚类分割算法(kernel density clustering,KDC)。新算法首先利用简单的迭代聚类(simple linear iterative cluster,SLIC)算法将目标图像分割成不规则块,集结小区域内近似像素点组成超像素区域,计算单元由像素点转变为超像素区域,有效降低数据复杂度,且SLIC算法简化图像数据时可有效避免目标果实轮廓模糊;基于超像素构造R-B区域均值和G-B区域均值的二维特征分量,建立针对聚类分析的青苹果颜色特征空间。然后借助密度峰值聚类中心计算绿色苹果图像每个数据点的局部密度和局部差异度,为解决分割边界模糊问题,在计算过程中利用核密度估计计算局部密度,确保局部密度在不同复杂场景中的清晰准确表达,以更精准找出被低密度区域分割的高密度区域,实现任意形状的聚类。最后以局部密度和距离构造寻找聚类中心的决策图,该研究采用双排序算法实现聚类中心的自动选择,完成目标果实的高效分割。新算法通过SLIC算法获得图像的超像素区域表示,数据点的局部密度通过核密度估计得到,大幅降低算法的计算量,实现目标图像的高效、精准分割。为更好地验证新算法性能,实验采集多光照、阴雨等环境下的遮挡、重叠等复杂目标图像,以分割效率、分割有效性、假阳性、假阴性等指标进行评价,通过对比k-means聚类算法、meanshift聚类算法、FCM算法和DPCA算法,该研究提出展开更多
A medium wave(MW)640×512(25μm)Mercury Cadmium Telluride(HgCdTe)polarimetric focal plane array(FPA)was demonstrated.The micro-polarizer array(MPA)has been carefully designed in terms of line grating structure opt...A medium wave(MW)640×512(25μm)Mercury Cadmium Telluride(HgCdTe)polarimetric focal plane array(FPA)was demonstrated.The micro-polarizer array(MPA)has been carefully designed in terms of line grating structure optimization and crosstalk suppression.A monolithic fabrication process with low damage was explored,which was verified to be compatible well with HgCdTe devices.After monolithic integration of MPA,NETD<9.5 mK was still maintained.Furthermore,to figure out the underlying mechanism that dominat⁃ed the extinction ratio(ER),specialized MPA layouts were designed,and the crosstalk was experimentally vali⁃dated as the major source that impacted ER.By expanding opaque regions at pixel edges to 4μm,crosstalk rates from adjacent pixels could be effectively reduced to approximately 2%,and promising ERs ranging from 17.32 to 27.41 were implemented.展开更多
[ Objective] To locate gonadotropin-releasing hormone （GnRH） in pituitary of Guangxi swamp buffaloes and to provide a theoretical ba- sis for cloning and sequence analysis of GnRH receptor gene. [ Method] GnRH in pi...[ Objective] To locate gonadotropin-releasing hormone （GnRH） in pituitary of Guangxi swamp buffaloes and to provide a theoretical ba- sis for cloning and sequence analysis of GnRH receptor gene. [ Method] GnRH in pituitary were immunohistochemically stained by avidin biotin complex method. The GnRH expression was analyzed with image system. The GnRH receptor gene was amplified by real-time PCR. [ Result] Many GnRH positive cells were detected in pars distalis of adenohypophysis. GnRH were distributed in cytoplasm but not in nuclei. No positive sig- nal was observed in neurohypophysis. In addition, the GnRH receptor gene, 920 bp in size, was amplified. [ Conclusion] A large number of GnRH and GnRH receptor were found in pars distalis of adenohypophysis, which indicates that anterior pituitary is an important tissue for functions of hypo- thalamus-pituitary-gonadal axis and other endocrine axes.展开更多
设计了一种利用延伸栅极型晶体管(EGFET)检测溶液pH值的电路,包括信号采集、信号转换与处理、放大电路设计、模数转换器(ADC)及软件设计部分。实测结果表明:设计的电路在溶液pH值4~10范围内输出电压的灵敏度为39.68 m V/pH。与传统的pH...设计了一种利用延伸栅极型晶体管(EGFET)检测溶液pH值的电路,包括信号采集、信号转换与处理、放大电路设计、模数转换器(ADC)及软件设计部分。实测结果表明:设计的电路在溶液pH值4~10范围内输出电压的灵敏度为39.68 m V/pH。与传统的pH玻璃电极相比,设计的传感器具有响应速度快、易于封装、对光和温度不敏感、稳定性好等特点。展开更多
基金Focus on Research and Development Plan in Shandong Province(2019GNC106115)China Postdoctoral Science Foundation(2018M630797)+1 种基金Shandong Province Higher Educational Science and Technology Program(J18KA308)National Nature Science Foundation of China(62072289)。
文摘苹果的可见光谱目标的高效、精准识别是实现果园测产或机器自动采摘作业的关键,由于绿色目标果实与枝叶背景颜色较为相近,因此绿色苹果的识别成为新的挑战。再由于果园实际复杂环境因素影响,如光照、阴雨、枝叶遮挡、目标重叠等情况,现有的目标果实识别方案难以满足测产或自动采摘的实时、精准作业需求。为更好地实现果园自然环境中绿色目标果实识别问题,提出一种新的核密度估计优化的聚类分割算法(kernel density clustering,KDC)。新算法首先利用简单的迭代聚类(simple linear iterative cluster,SLIC)算法将目标图像分割成不规则块,集结小区域内近似像素点组成超像素区域,计算单元由像素点转变为超像素区域,有效降低数据复杂度,且SLIC算法简化图像数据时可有效避免目标果实轮廓模糊;基于超像素构造R-B区域均值和G-B区域均值的二维特征分量,建立针对聚类分析的青苹果颜色特征空间。然后借助密度峰值聚类中心计算绿色苹果图像每个数据点的局部密度和局部差异度,为解决分割边界模糊问题,在计算过程中利用核密度估计计算局部密度,确保局部密度在不同复杂场景中的清晰准确表达,以更精准找出被低密度区域分割的高密度区域,实现任意形状的聚类。最后以局部密度和距离构造寻找聚类中心的决策图,该研究采用双排序算法实现聚类中心的自动选择,完成目标果实的高效分割。新算法通过SLIC算法获得图像的超像素区域表示,数据点的局部密度通过核密度估计得到,大幅降低算法的计算量,实现目标图像的高效、精准分割。为更好地验证新算法性能,实验采集多光照、阴雨等环境下的遮挡、重叠等复杂目标图像,以分割效率、分割有效性、假阳性、假阴性等指标进行评价,通过对比k-means聚类算法、meanshift聚类算法、FCM算法和DPCA算法,该研究提出
基金Supported by the self-funded project of Kunming Institute of Physics。
文摘A medium wave(MW)640×512(25μm)Mercury Cadmium Telluride(HgCdTe)polarimetric focal plane array(FPA)was demonstrated.The micro-polarizer array(MPA)has been carefully designed in terms of line grating structure optimization and crosstalk suppression.A monolithic fabrication process with low damage was explored,which was verified to be compatible well with HgCdTe devices.After monolithic integration of MPA,NETD<9.5 mK was still maintained.Furthermore,to figure out the underlying mechanism that dominat⁃ed the extinction ratio(ER),specialized MPA layouts were designed,and the crosstalk was experimentally vali⁃dated as the major source that impacted ER.By expanding opaque regions at pixel edges to 4μm,crosstalk rates from adjacent pixels could be effectively reduced to approximately 2%,and promising ERs ranging from 17.32 to 27.41 were implemented.
基金supported by the grants from Research and Innovation Project for Master Degree Candidates(105930903014)Guangxi Natural Science Foundation(06400150832043 and 0991042+3 种基金Guangxi Science and Technology Department)Research Foundation of Guangxi Education Department(200709LX075Guangxi Education and Research)Guangxi Large-scale Instrument Collaboration and Sharing Network Program
文摘[ Objective] To locate gonadotropin-releasing hormone （GnRH） in pituitary of Guangxi swamp buffaloes and to provide a theoretical ba- sis for cloning and sequence analysis of GnRH receptor gene. [ Method] GnRH in pituitary were immunohistochemically stained by avidin biotin complex method. The GnRH expression was analyzed with image system. The GnRH receptor gene was amplified by real-time PCR. [ Result] Many GnRH positive cells were detected in pars distalis of adenohypophysis. GnRH were distributed in cytoplasm but not in nuclei. No positive sig- nal was observed in neurohypophysis. In addition, the GnRH receptor gene, 920 bp in size, was amplified. [ Conclusion] A large number of GnRH and GnRH receptor were found in pars distalis of adenohypophysis, which indicates that anterior pituitary is an important tissue for functions of hypo- thalamus-pituitary-gonadal axis and other endocrine axes.
文摘设计了一种利用延伸栅极型晶体管(EGFET)检测溶液pH值的电路,包括信号采集、信号转换与处理、放大电路设计、模数转换器(ADC)及软件设计部分。实测结果表明:设计的电路在溶液pH值4~10范围内输出电压的灵敏度为39.68 m V/pH。与传统的pH玻璃电极相比,设计的传感器具有响应速度快、易于封装、对光和温度不敏感、稳定性好等特点。
基金National Key Research and Development Program of China(No.2019YFB2006500)National Natural Science Foundation of China(Nos.51574100,51704087)Natural Science Foundation of Heilongjiang Province,China(No.LH2020E083)。
基金financially supported by the National Natural Science Foundation of China (No. 51704087)the Natural Science Foundation of Heilongjiang Province, China (No. LH2020E083)。
