{"currentpage":1,"firstResult":0,"maxresult":10,"pagecode":5,"pageindex":{"endPagecode":5,"startPagecode":1},"records":[{"abstractinfo":"本文使用DES (Detached eddy simulation)湍流模型,计算了Re=3900时的三维圆柱扰流.采用一种简化的二阶精度的浸入边界方法处理无滑移固体边界,时间上二阶精度的<span style=\"color:red\">投影</span><span style=\"color:red\">算法</span>求解不可压流体NS方程.只使用了36万网格数,远远低于文献中大涡模拟计算的网格数.计算结果验证了DES模型的可靠性,为进一步开展湍流模型的多尺度计算打下基础.","authors":[{"authorName":"李兆辉","id":"ddb31b37-12d3-4646-9e12-b212ca42799b","originalAuthorName":"李兆辉"},{"authorName":"张剑飞","id":"f68a9ea0-53d7-4142-8012-ae302b00d92f","originalAuthorName":"张剑飞"},{"authorName":"陶文铨","id":"04d0ffa2-f19f-487a-9da9-62b781d34162","originalAuthorName":"陶文铨"}],"doi":"","fpage":"1703","id":"1fd1b516-36ac-4657-9c2f-cdfb85bb060d","issue":"9","journal":{"abbrevTitle":"GCRWLXB","coverImgSrc":"journal/img/cover/GCRWLXB.jpg","id":"32","issnPpub":"0253-231X","publisherId":"GCRWLXB","title":"工程热物理学报   "},"keywords":[{"id":"5be629fd-ab0b-493b-8a22-4fb794760b4e","keyword":"圆柱扰流","originalKeyword":"圆柱扰流"},{"id":"c91c2950-6582-446f-913f-7b665a494fd7","keyword":"detached Eddy Simulation","originalKeyword":"detached Eddy Simulation"},{"id":"2279b373-4e4d-4d14-8e4c-a976bd3608ff","keyword":"浸入边界法","originalKeyword":"浸入边界法"},{"id":"0660d81a-68db-453f-b785-dd64d3e46394","keyword":"<span style=\"color:red\">投影</span><span style=\"color:red\">算法</span>","originalKeyword":"投影算法"}],"language":"zh","publisherId":"gcrwlxb201309024","title":"DES湍流模型计算Re=3900的圆柱扰流","volume":"34","year":"2013"},{"abstractinfo":"全息激光<span style=\"color:red\">投影</span>技术相比传统图像显示技术有突出的优势。作为全息激光<span style=\"color:red\">投影</span>技术的关键图像处理<span style=\"color:red\">算法</span>---相位恢复<span style=\"color:red\">算法</span>，<span style=\"color:red\">算法</span>的收敛速率和精度都有待提高，在实际计算中它们的效果不够理想，甚至不能保证迭代过程总收敛到正确解。基于此，本文提出了基于并行结构的相位恢复<span style=\"color:red\">算法</span>(PGSGA)。该方法思路是对多个初值进行并行运算，不断“筛”出最优结果来对 GS <span style=\"color:red\">算法</span>进行加速。仿真实验证明，该<span style=\"color:red\">算法</span>在收敛速率和恢复的灰阶图像质量等方面具有优越性。","authors":[{"authorName":"吴广志","id":"6e08e1f1-e33a-4c0b-828e-c51d9dea99b0","originalAuthorName":"吴广志"},{"authorName":"张晗盛","id":"0ad73333-ddf8-4e4c-a61f-f25590b64564","originalAuthorName":"张晗盛"},{"authorName":"茆文艺","id":"af2816b2-3607-4181-91e5-bdf7835201d6","originalAuthorName":"茆文艺"}],"doi":"10.3788/YJYXS20142906.1010","fpage":"1010","id":"ff7059d6-9ed5-4b7f-9aa3-9829b9e84634","issue":"6","journal":{"abbrevTitle":"YJYXS","coverImgSrc":"journal/img/cover/YJYXS.jpg","id":"72","issnPpub":"1007-2780","publisherId":"YJYXS","title":"液晶与显示   "},"keywords":[{"id":"03789bb5-1e9c-4183-a34d-a429c06d593d","keyword":"全息术","originalKeyword":"全息术"},{"id":"e88797c4-4c1c-47b0-8546-b8c71367a970","keyword":"视频全息<span style=\"color:red\">投影</span>系统","originalKeyword":"视频全息投影系统"},{"id":"0e65ac0b-fa44-4d37-bb09-0ada5c20bb9d","keyword":"相位恢复<span style=\"color:red\">算法</span>","originalKeyword":"相位恢复算法"},{"id":"8388e3b4-0eb3-41e0-894f-596adf3c4491","keyword":"纯相位全息图","originalKeyword":"纯相位全息图"},{"id":"fe81ba27-d48b-4ccb-949d-6d79fa983a15","keyword":"GS<span style=\"color:red\">算法</span>","originalKeyword":"GS算法"}],"language":"zh","publisherId":"yjyxs201406025","title":"基于并行结构的相位恢复<span style=\"color:red\">算法</span>在全息激光<span style=\"color:red\">投影</span>中的应用","volume":"","year":"2014"},{"abstractinfo":"本文提出了一种基于连续型Hopfield神经网络(简称HNN)优化的少数<span style=\"color:red\">投影</span>最大熵层析图像重建<span style=\"color:red\">算法</span>.通过数值模拟,考察了该<span style=\"color:red\">算法</span>的可靠性和对场分布的重建效果以及抗噪声性能.结果表明,该<span style=\"color:red\">算法</span>具有较高的重建精度和良好的抗噪声性能.","authors":[{"authorName":"王青","id":"57d4539a-b02c-48af-bc64-847b225a965f","originalAuthorName":"王青"},{"authorName":"陈韶华","id":"ea274bee-6243-4a7f-b9e3-0c6833995437","originalAuthorName":"陈韶华"}],"doi":"10.3969/j.issn.1007-5461.2003.01.004","fpage":"22","id":"1c93b016-9c61-4ded-9653-d33aa9545854","issue":"1","journal":{"abbrevTitle":"LZDZXB","coverImgSrc":"journal/img/cover/LZDZXB.jpg","id":"53","issnPpub":"1007-5461","publisherId":"LZDZXB","title":"量子电子学报   "},"keywords":[{"id":"ff14b05a-a30f-4786-adf7-80682820b7cd","keyword":"神经网络","originalKeyword":"神经网络"},{"id":"b1f09622-20f2-4cf1-9239-ecaf2ba77a53","keyword":"少数<span style=\"color:red\">投影</span>","originalKeyword":"少数投影"},{"id":"9f8abdaa-a30c-4dd3-ba89-f50fb15386f3","keyword":"最大熵","originalKeyword":"最大熵"},{"id":"d39b773d-a72c-4394-94db-36379fdf60e6","keyword":"图像重建","originalKeyword":"图像重建"}],"language":"zh","publisherId":"lzdzxb200301004","title":"基于神经网络优化的少数<span style=\"color:red\">投影</span>最大熵层析图像重建<span style=\"color:red\">算法</span>","volume":"20","year":"2003"},{"abstractinfo":"针对传统的凸集<span style=\"color:red\">投影</span>(POCS)超分辨率图像重建<span style=\"color:red\">算法</span>经常出现的边缘模糊问题,在传统POCS<span style=\"color:red\">算法</span>原理基础上,文章使用基于梯度插值的<span style=\"color:red\">算法</span>生成POCS重建的初始估计图像,然后对中心点为边缘像素的空间点扩散函数(PSF)进行修正,使其系数沿梯度大的方向减小,梯度小的方向保持不变.利用改进的POCS<span style=\"color:red\">算法</span>进行了超分辨率图像重建实验,结果表明,图像峰值信噪比由原来的27.29 dB达到28.12 dB.该方法有效地保持了边缘特性,改善了超分辨率图像重建质量.","authors":[{"authorName":"徐美芳","id":"6578f839-9257-4939-b13d-dc301abc3aa5","originalAuthorName":"徐美芳"},{"authorName":"刘晶红","id":"81ca534f-775b-4a1f-b5df-84703ee6e4cd","originalAuthorName":"刘晶红"}],"doi":"10.3969/j.issn.1007-2780.2010.06.021","fpage":"873","id":"20d59598-0151-45fd-8868-229266081854","issue":"6","journal":{"abbrevTitle":"YJYXS","coverImgSrc":"journal/img/cover/YJYXS.jpg","id":"72","issnPpub":"1007-2780","publisherId":"YJYXS","title":"液晶与显示   "},"keywords":[{"id":"dde2a761-eb97-4c97-a876-1a01e149a0a4","keyword":"超分辨率","originalKeyword":"超分辨率"},{"id":"cbbc3b7c-de9c-4036-b85b-07fc7a37b051","keyword":"POCS <span style=\"color:red\">算法</span>","originalKeyword":"POCS 算法"},{"id":"e85fe212-834c-4ee8-9780-6fc5344da973","keyword":"空间点扩散函数","originalKeyword":"空间点扩散函数"},{"id":"6d16c46e-351c-4be8-9f3e-4d3ef26aea5a","keyword":"边缘保持","originalKeyword":"边缘保持"},{"id":"d881be3e-81ce-4591-a96b-d7d133daccf0","keyword":"Canny","originalKeyword":"Canny"},{"id":"a81a543f-b053-49cc-9538-7f6348eed771","keyword":"航拍图像","originalKeyword":"航拍图像"}],"language":"zh","publisherId":"yjyxs201006021","title":"基于边缘保持的航拍图像凸集<span style=\"color:red\">投影</span>超分辨率重建<span style=\"color:red\">算法</span>","volume":"25","year":"2010"},{"abstractinfo":"针对尺度不变特征变换(Scale-invariant feature transform,SIFT)<span style=\"color:red\">算法</span>在关键点特征描述向量阶段计算复杂并且维数较高的现象,提出了一种基于压缩感知理论的SIFT<span style=\"color:red\">算法</span>.通过压缩感知理论的稀疏特征表示方法,对SIFT关键点特征向量进行提取,将高维梯度导数向量降到低维稀疏特征向量,降低了关键点描述向量维度.采用欧式距离作为关键点的相似性度量, Best-Bin-First(BBF)数据结构避免穷举,使数据的运算量大为减少.实验结果表明,新<span style=\"color:red\">算法</span>对存在仿射变换的医学图像配准性能优于传统SIFT<span style=\"color:red\">算法</span>,与当前改进型的SIFT<span style=\"color:red\">算法</span>相比,本文<span style=\"color:red\">算法</span>的实时性明显增强.","authors":[{"authorName":"杨飒","id":"b781a83b-82d7-4364-b4c2-4fa3767b0658","originalAuthorName":"杨飒"},{"authorName":"郑志硕","id":"97a3b6e3-a64d-4749-a69b-e1462fe099b0","originalAuthorName":"郑志硕"}],"doi":"10.3969/j.issn.1007-5461.2015.03.005","fpage":"283","id":"270a1f8b-06f5-4a49-acbd-b297cd091175","issue":"3","journal":{"abbrevTitle":"LZDZXB","coverImgSrc":"journal/img/cover/LZDZXB.jpg","id":"53","issnPpub":"1007-5461","publisherId":"LZDZXB","title":"量子电子学报   "},"keywords":[{"id":"a809cb18-8740-49dd-af71-8e4d7d5e513c","keyword":"图像处理","originalKeyword":"图像处理"},{"id":"5f9fc436-038b-47ce-af1a-55cbeb5fbb21","keyword":"图像配准","originalKeyword":"图像配准"},{"id":"cf7710ea-733d-4e06-bed0-99598a1fafa5","keyword":"尺度不变特征变换","originalKeyword":"尺度不变特征变换"},{"id":"a50fe851-9e83-4d4f-b3ed-c0be981aafbb","keyword":"特征提取","originalKeyword":"特征提取"},{"id":"29c5876d-ad2d-4dc5-bb1d-a59b82d7cf58","keyword":"稀疏随机<span style=\"color:red\">投影</span>","originalKeyword":"稀疏随机投影"}],"language":"zh","publisherId":"lzdzxb201503005","title":"基于稀疏随机<span style=\"color:red\">投影</span>的SIFT医学图像配准<span style=\"color:red\">算法</span>","volume":"32","year":"2015"},{"abstractinfo":"针对偏振式立体<span style=\"color:red\">投影</span>仪,研究了其左右光路不一致性及立体串扰度对立体<span style=\"color:red\">投影</span>质量的影响.屏幕上<span style=\"color:red\">投影</span>图像的不严格重合、两路光路在色度亮度上的差异以及偏振眼镜造成的立体串扰等都会影响最终的立体<span style=\"color:red\">投影</span>质量.提出用上述参数评价偏振式立体<span style=\"color:red\">投影</span>仪的立体<span style=\"color:red\">投影</span>质量并完成了评价系统的搭建.通过数字摄像头获取立体<span style=\"color:red\">投影</span>设备在屏幕上相应的<span style=\"color:red\">投影</span>图像,采用OpenCV等<span style=\"color:red\">算法</span>计算及分析了上述参数值,并将该值与预存的最大偏差值比较后进行显示及反馈.在一台偏振式立体<span style=\"color:red\">投影</span>仪上进行了系统验证,结果表明该系统能够有效地对立体<span style=\"color:red\">投影</span>仪性能参数进行测量及反馈,有利于全面分析偏振式立体<span style=\"color:red\">投影</span>仪的立体<span style=\"color:red\">投影</span>质量,便于提高<span style=\"color:red\">投影</span>仪的整体质量.","authors":[{"authorName":"李艳","id":"f123155f-de6a-4d96-8724-30212584cf38","originalAuthorName":"李艳"},{"authorName":"苏萍","id":"9ec5249b-fe90-4efe-8742-5db6690342ba","originalAuthorName":"苏萍"},{"authorName":"马建设","id":"70a5de5c-96b2-45a3-bee5-2e9afb3b07d4","originalAuthorName":"马建设"},{"authorName":"毛乐山","id":"04a55e06-88c7-4541-8daa-6a58b247d494","originalAuthorName":"毛乐山"}],"doi":"10.3788/YJYXS20122701.0031","fpage":"31","id":"bf36b1fe-4398-43fd-8b3f-edf7a93739f2","issue":"1","journal":{"abbrevTitle":"YJYXS","coverImgSrc":"journal/img/cover/YJYXS.jpg","id":"72","issnPpub":"1007-2780","publisherId":"YJYXS","title":"液晶与显示   "},"keywords":[{"id":"48fb41f8-6108-4bd2-b836-9efe466a35ef","keyword":"立体<span style=\"color:red\">投影</span>","originalKeyword":"立体投影"},{"id":"853bbfb0-4464-47b9-9994-e3a9963493c6","keyword":"不一致性","originalKeyword":"不一致性"},{"id":"eabea3e5-b86c-4653-9c84-a50ddb6cd5b2","keyword":"立体串扰度","originalKeyword":"立体串扰度"},{"id":"17083468-cc0c-4c66-9684-9a405c8cb5e6","keyword":"质量评价","originalKeyword":"质量评价"}],"language":"zh","publisherId":"yjyxs201201006","title":"立体<span style=\"color:red\">投影</span>质量的评价方法及系统","volume":"27","year":"2012"},{"abstractinfo":"提出了一种新的少数<span style=\"color:red\">投影</span>最大熵层析图像重建<span style=\"color:red\">算法</span>．通过数值模拟，考察了该<span style=\"color:red\">算法</span>对不同场分布函数的重建效果以及抗噪声性能.结果表明，该<span style=\"color:red\">算法</span>具有较高的重建精度和良好的抗噪声性能．","authors":[{"authorName":"陈韶华","id":"06811e09-2e0e-48ee-ba12-a9d6ea2c2a2e","originalAuthorName":"陈韶华"}],"doi":"10.3969/j.issn.1007-5461.2000.06.013","fpage":"557","id":"713df708-5690-4a54-96d3-3aab831bb6d5","issue":"6","journal":{"abbrevTitle":"LZDZXB","coverImgSrc":"journal/img/cover/LZDZXB.jpg","id":"53","issnPpub":"1007-5461","publisherId":"LZDZXB","title":"量子电子学报   "},"keywords":[{"id":"e80be307-5acc-4b07-9209-862b2e813ef0","keyword":"少数<span style=\"color:red\">投影</span>","originalKeyword":"少数投影"},{"id":"e0106bd2-695f-4648-97a9-7f8cddfa5ce3","keyword":"图像重建","originalKeyword":"图像重建"},{"id":"29de3bba-9a1f-4f6b-a548-ba1832d5aee7","keyword":"最大熵","originalKeyword":"最大熵"},{"id":"bb78d73b-6c91-42c2-b495-9598a03afebc","keyword":"数值模拟","originalKeyword":"数值模拟"}],"language":"zh","publisherId":"lzdzxb200006013","title":"少数<span style=\"color:red\">投影</span>最大熵图像重建的数值模拟","volume":"17","year":"2000"},{"abstractinfo":"针对CT金属伪影去除<span style=\"color:red\">算法</span>中,如何在图像空间准确定位金属区域问题,提出一种基于切线反<span style=\"color:red\">投影</span>重建一幅二值图像的方法对CT图像中金属的位置和形状进行标定.方法首先采用检测器等距扇形束扫描结构采集原始<span style=\"color:red\">投影</span>数据；然后配合区域生长的图像分割<span style=\"color:red\">算法</span>对原始<span style=\"color:red\">投影</span>数据中金属区域的<span style=\"color:red\">投影</span>进行分割,再利用原始<span style=\"color:red\">投影</span>数据分割的结果,采用基于切线反<span style=\"color:red\">投影</span>二值图像重建方法对CT图像中金属的位置和形状进行标定；最后采用计算机仿真实验对上述方法进行评估.实验结果表明,上述方法能够准确定位模型中金属的位置和形状.","authors":[{"authorName":"李铭","id":"51e9f0dd-79e8-460f-afa4-45bbc62d143a","originalAuthorName":"李铭"},{"authorName":"张涛","id":"daaf8dd5-f425-481c-b47d-35db11efb3d6","originalAuthorName":"张涛"},{"authorName":"郑健","id":"6583c400-d16d-4c9d-b989-8d778b00c86f","originalAuthorName":"郑健"},{"authorName":"杨宏成","id":"c82e66f7-f6c2-4a7d-a042-10031826bcf7","originalAuthorName":"杨宏成"},{"authorName":"卢彦飞","id":"215f2a96-bd29-4cd7-b7e2-91395858d6f7","originalAuthorName":"卢彦飞"}],"doi":"10.3788/YJYXS20132802.0295","fpage":"295","id":"6a07158f-70a3-45fc-bfee-294272de5aaa","issue":"2","journal":{"abbrevTitle":"YJYXS","coverImgSrc":"journal/img/cover/YJYXS.jpg","id":"72","issnPpub":"1007-2780","publisherId":"YJYXS","title":"液晶与显示   "},"keywords":[{"id":"6d9f5213-6c05-449e-9210-9298c8d04a47","keyword":"切线反<span style=\"color:red\">投影</span>","originalKeyword":"切线反投影"},{"id":"134cd1d2-27f8-4435-abce-bb4c40ee5978","keyword":"原始<span style=\"color:red\">投影</span>数据","originalKeyword":"原始投影数据"},{"id":"ca941f76-a01a-4630-8330-d4b29a46481d","keyword":"区域生长图像分割","originalKeyword":"区域生长图像分割"},{"id":"123eb0ac-ea83-4403-8fd1-4f23681f9977","keyword":"金属位置标定","originalKeyword":"金属位置标定"}],"language":"zh","publisherId":"yjyxs201302026","title":"基于切线反<span style=\"color:red\">投影</span>的CT金属位置和形状标定","volume":"28","year":"2013"},{"abstractinfo":"本文提出了一种基于非结构同位网格的求解非定常不可压缩流动的高精度<span style=\"color:red\">投影</span><span style=\"color:red\">算法</span>.采用单元中心非结构网格,利用动量插值方法实现同位网格上的压力-速度耦合,对流项和扩散项的时间离散均采用C-N格式,空间离散则分别采用QUICK格式和中心差分.运用二维衰减涡流动、圆柱绕流和顶盖振荡驱动流等经典算例对<span style=\"color:red\">算法</span>进行了考核,结果表明本文<span style=\"color:red\">算法</span>与实验结果或经典数值解良好吻合,时间和空间均达到了二阶以上的收敛精度.","authors":[{"authorName":"常怀见","id":"56dbce5f-bee5-400f-9e02-1acf59b05af1","originalAuthorName":"常怀见"},{"authorName":"赖焕新","id":"060e645f-0e39-40e0-a613-066fe3458d71","originalAuthorName":"赖焕新"}],"doi":"","fpage":"2160","id":"37648c06-052a-4f47-8f33-dda8cca75fdf","issue":"10","journal":{"abbrevTitle":"GCRWLXB","coverImgSrc":"journal/img/cover/GCRWLXB.jpg","id":"32","issnPpub":"0253-231X","publisherId":"GCRWLXB","title":"工程热物理学报   "},"keywords":[{"id":"592b638e-abbc-4398-8c55-0ad3693a1a3d","keyword":"非定常不可压缩流动","originalKeyword":"非定常不可压缩流动"},{"id":"5c761bfc-7b37-4920-a173-ba1439e89117","keyword":"<span style=\"color:red\">投影</span>法","originalKeyword":"投影法"},{"id":"6972328b-1473-42c9-bc7e-65c6a4b94878","keyword":"非结构网格","originalKeyword":"非结构网格"},{"id":"60a112b5-7c1d-494d-82f3-857c1e4c685b","keyword":"有限体积法","originalKeyword":"有限体积法"}],"language":"zh","publisherId":"gcrwlxb201510018","title":"基于非结构网格的高精度<span style=\"color:red\">投影</span>法","volume":"36","year":"2015"},{"abstractinfo":"设计了一个可实现无缝拼接系统的研究示例:将一个高分辨率的图像分为两个分图像,按两部分在边缘交叠的方式分别<span style=\"color:red\">投影</span>.在<span style=\"color:red\">投影</span>之前,选用简单的线性函数关系,对待重叠部分进行了淡入淡出的处理,经这样叠加后重叠部分的重叠痕迹可适当消除.但鉴于像素信号与亮度之间还应满足伽马(Garoma)关系,故在处理过程中同时进行了Gamma校正的设计.研究过程中,考虑到不同成像终端之间,在色度表征方式以及Gamma校正已有自身规则,可方便转换,文章从简化研究出发,首次采用当前计算机监视器的液晶屏为<span style=\"color:red\">投影</span>成像的终端,研究它的融合结果,并实测融合图像部分的光强,以检查融合的实际效果.发现采用简单的线性函数并选择2.15的Gamma校正值,较之未作伽马校正前的,能改善融合区与未处理区的亮度差异达两个量级.最后给出了经这样处理后在液晶显示屏上获得较为良好的拼接效果.","authors":[{"authorName":"柴海峰","id":"1018792f-c0c8-4b3d-a033-b4909aef70a6","originalAuthorName":"柴海峰"},{"authorName":"高国保","id":"b6dd1f0d-8b4f-4087-a43f-38c245379d9d","originalAuthorName":"高国保"},{"authorName":"郝大收","id":"0a1de5a2-4c26-4638-824d-1397174ce26e","originalAuthorName":"郝大收"},{"authorName":"李学东","id":"0cfff234-77d8-44e5-b280-782348131e0f","originalAuthorName":"李学东"},{"authorName":"王中","id":"c1a04340-5957-47ba-9c36-5b0b77cafedc","originalAuthorName":"王中"},{"authorName":"杭力","id":"d3e87386-533c-47b9-a77c-735301259072","originalAuthorName":"杭力"},{"authorName":"刘召军","id":"dee7aad7-2956-42e9-88fe-9ec8b03ce83d","originalAuthorName":"刘召军"},{"authorName":"孙鹏飞","id":"4ab9de11-9205-44dc-963e-38842bd72dd0","originalAuthorName":"孙鹏飞"},{"authorName":"吴春亚","id":"4f05ee23-1bfe-493a-a969-5fc58012d19f","originalAuthorName":"吴春亚"},{"authorName":"孟志国","id":"cb154f91-7266-4e26-a635-6065e5210933","originalAuthorName":"孟志国"},{"authorName":"熊绍珍","id":"85cab943-ffc0-4a0d-84a6-395694dec6c1","originalAuthorName":"熊绍珍"}],"doi":"10.3969/j.issn.1007-2780.2007.03.020","fpage":"336","id":"dfc2aab5-0045-439b-a767-0212882cfcd2","issue":"3","journal":{"abbrevTitle":"YJYXS","coverImgSrc":"journal/img/cover/YJYXS.jpg","id":"72","issnPpub":"1007-2780","publisherId":"YJYXS","title":"液晶与显示   "},"keywords":[{"id":"8f5dad5f-7f09-411b-91c1-15d6c20cead5","keyword":"数字光处理","originalKeyword":"数字光处理"},{"id":"fee919c8-7d82-4e58-87cc-0ab3b0bd2f2a","keyword":"无缝拼接","originalKeyword":"无缝拼接"},{"id":"41b22f96-79ca-4bbb-bb94-7dd55e734bf5","keyword":"边缘融合","originalKeyword":"边缘融合"},{"id":"68db2c7e-0072-451b-b70d-1fa6b0e445b9","keyword":"Garoma校正","originalKeyword":"Garoma校正"}],"language":"zh","publisherId":"yjyxs200703020","title":"大屏幕<span style=\"color:red\">投影</span>拼接系统的设计","volume":"22","year":"2007"}],"totalpage":236,"totalrecord":2360}