{"currentpage":1,"firstResult":0,"maxresult":10,"pagecode":5,"pageindex":{"endPagecode":5,"startPagecode":1},"records":[{"abstractinfo":"在经典 Criminisi 图像修复算法框架的基础上,针对优先权可靠性低和全局搜索最佳模板效率低、错误匹配率大的缺点进行改进。改进的算法为基于萤火虫算法(FA)的快速 Criminisi 图像修复算法。首先从数学的角度引入正规化函数至置信度,以此提升优先权计算的可靠性;然后引入 FA 到最佳模板的搜索与填充中,能够有效地将全局搜索与局部搜索有效地结合,鲁棒性较高,提高效率且错误匹配率低。实验结果表明:采用本文的改进算法能在保证修复质量的基础上降低时耗,提高效率。","authors":[{"authorName":"李尊","id":"e286835d-c354-447c-b49d-d564feddc49b","originalAuthorName":"李尊"},{"authorName":"吴谨","id":"e7a9d1d7-c846-406d-bfa3-9ba16daf3260","originalAuthorName":"吴谨"},{"authorName":"刘劲","id":"2ba72903-c308-4fa8-875d-a31d9e55d8e0","originalAuthorName":"刘劲"},{"authorName":"吴秋红","id":"1eaa684c-7ac3-4a65-b318-21ce34982c2f","originalAuthorName":"吴秋红"}],"doi":"10.3788/YJYXS20153002.0353","fpage":"353","id":"a877c2ca-7ad2-40cc-9949-0aa0ac6e7611","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":"871d8758-079d-45d8-9b98-cf2fce74d48d","keyword":"Criminisi算法","originalKeyword":"Criminisi算法"},{"id":"eceef6ac-a859-4c45-a8c9-9a1d3f5f9b64","keyword":"优先权","originalKeyword":"优先权"},{"id":"15656704-3e6c-482f-8f29-d2e458403e2f","keyword":"最佳匹配模板","originalKeyword":"最佳匹配模板"},{"id":"3efcbf76-c1c9-47a8-97e4-4278f2049cee","keyword":"FA","originalKeyword":"FA"}],"language":"zh","publisherId":"yjyxs201502026","title":"FA-Criminisi 快速图像修复","volume":"","year":"2015"},{"abstractinfo":"为了提高图像边缘结构信息的修复效果,本文优化的Criminisi算法优先权,侧重于提高数据项的鲁棒性,并在全局搜索寻找最佳匹配模块进行修复.且在修复结束后,对修复区域进行FDIM算法的无缝拼接处理,使图像的整体和谐统一.实验证明,该修复方法能够很好地处理边缘结构细节信息,并降低了错误匹配,满足人的视觉需求,具有相对较高的实用价值.","authors":[{"authorName":"李尊","id":"90cc4134-72c2-4cc6-ae09-313b3eaade2c","originalAuthorName":"李尊"},{"authorName":"吴谨","id":"5a8d7398-3f16-4c8c-98d4-d6e299b858a7","originalAuthorName":"吴谨"},{"authorName":"刘劲","id":"fd76713f-c954-43b1-b67f-a916be44d705","originalAuthorName":"刘劲"}],"doi":"10.3788/YJYXS20142905.0756","fpage":"756","id":"389cccd6-00c7-4e14-bb41-719fa72a2db5","issue":"5","journal":{"abbrevTitle":"YJYXS","coverImgSrc":"journal/img/cover/YJYXS.jpg","id":"72","issnPpub":"1007-2780","publisherId":"YJYXS","title":"液晶与显示 "},"keywords":[{"id":"215f5a6d-16f3-48d8-b284-1ed303448f59","keyword":"边缘结构","originalKeyword":"边缘结构"},{"id":"83fbe0d5-46e7-476a-803d-f9b75338d3b0","keyword":"图像修复","originalKeyword":"图像修复"},{"id":"a480b7f1-6c8c-4c6c-bf8a-393d57545a63","keyword":"Criminisi算法","originalKeyword":"Criminisi算法"},{"id":"0a328542-37fa-4f5e-80bb-7534fe3e673d","keyword":"FDIM算法","originalKeyword":"FDIM算法"}],"language":"zh","publisherId":"yjyxs201405019","title":"基于边缘结构的Criminisi图像修复","volume":"29","year":"2014"},{"abstractinfo":"采用MIVM模型预测合金溶液中组元的活度时,遇到了瓶颈参数B12、B21求解处理问题,为此,对无限稀偏摩尔混合焓实验数据已知状况不同的两类溶液分别提出了\"遍历优算法\"和\"多目标加权和优算法\"两种算法,并给出了算法的实现方案.采用Bi-In、In-Sn、Fe-Si合金溶液验算\"遍历优算法\",求算了溶液两参数B12、B21的优化解,计算出的平均相对误差、偏差分别为0.27%、182.4227J·mol-1采用Au-Zn、Au-Sn、Mn-Ni合金溶液验算\"多目标加权和优算法\",求算了对应溶液两参数B12、B21的优化解,相应的平均相对误差、偏差分别为10.82%、1063.8667J·mol-1.在进一步的合金溶液组元活度预测中,组元活度的预测值与试验值吻合较好.结果表明,采用\"遍历优算法\"、\"多目标加权和优算法\"能有效地解决MIVM模型中参数B12、B21求解问题,两算法体系是有效可行的.","authors":[{"authorName":"周兰花","id":"2ad19cd5-752f-4180-b5d2-a2c9071d3f2f","originalAuthorName":"周兰花"},{"authorName":"曾富洪","id":"4fa8ac3c-b2c3-41ba-9b3a-f658a9933051","originalAuthorName":"曾富洪"},{"authorName":"高仕忠","id":"d62915ad-03df-4402-91dc-9edd96bc6a7b","originalAuthorName":"高仕忠"}],"doi":"","fpage":"366","id":"8ed363f3-0b60-4b3d-8af1-c52510e1eb0e","issue":"3","journal":{"abbrevTitle":"CLKXYGCXB","coverImgSrc":"journal/img/cover/CLKXYGCXB.jpg","id":"13","issnPpub":"1673-2812","publisherId":"CLKXYGCXB","title":"材料科学与工程学报"},"keywords":[{"id":"5d9b0851-9101-4c52-9b52-52fb9b22dfc1","keyword":"合金溶液","originalKeyword":"合金溶液"},{"id":"d8ba5e7b-300e-44a4-84d2-b81b8af73556","keyword":"MIVM模型","originalKeyword":"MIVM模型"},{"id":"69fed55f-4bd9-4784-9dd0-3e35c559a7cd","keyword":"B12、B21参数","originalKeyword":"B12、B21参数"},{"id":"53c88c0c-234a-4ec9-9ac4-ad901e34f80a","keyword":"活度","originalKeyword":"活度"}],"language":"zh","publisherId":"clkxygc201103011","title":"MIVM参数的算法研究","volume":"29","year":"2011"},{"abstractinfo":"简单地介绍了量子搜索算法中的相位匹配条件、改进的成功率为100%的量子搜索算法和量子搜索算法中的主要误差等.","authors":[{"authorName":"龙桂鲁","id":"78ef2ef1-fea9-41a9-8f74-c11cf9cd6f27","originalAuthorName":"龙桂鲁"},{"authorName":"李岩松","id":"fa1f8dfd-15f9-4cfb-a999-796f9f0d5b44","originalAuthorName":"李岩松"},{"authorName":"肖丽","id":"64494cb5-b6a5-4b34-a1af-df3de6135101","originalAuthorName":"肖丽"},{"authorName":"屠长存","id":"60a2a397-6efc-45ee-a7d2-8e5148bbc03e","originalAuthorName":"屠长存"},{"authorName":"孙扬","id":"f44247d8-4628-4aac-96db-93f9dfe2d025","originalAuthorName":"孙扬"}],"doi":"10.3969/j.issn.1007-4627.2004.02.014","fpage":"114","id":"2cc1c974-22c9-4f68-830b-a71f2dbd4b8e","issue":"2","journal":{"abbrevTitle":"YZHWLPL","coverImgSrc":"journal/img/cover/YZHWLPL.jpg","id":"78","issnPpub":"1007-4627","publisherId":"YZHWLPL","title":"原子核物理评论 "},"keywords":[{"id":"3f62f026-401a-4bdd-be7c-43446b932890","keyword":"量子搜索","originalKeyword":"量子搜索"},{"id":"1b431c56-a3ef-475f-b975-1e5492fa3498","keyword":"相位匹配","originalKeyword":"相位匹配"},{"id":"cab06307-3d01-4fd6-b724-089660d4eca8","keyword":"Grover算法","originalKeyword":"Grover算法"},{"id":"cfb35ac1-4038-48b5-952b-08edaa25692c","keyword":"量子计算","originalKeyword":"量子计算"}],"language":"zh","publisherId":"yzhwlpl200402014","title":"Grover量子搜索算法及改进","volume":"21","year":"2004"},{"abstractinfo":"本文对应用于 AMOLED 的低功耗色彩还原算法开展研究,提出了一种基于直方图平移的算法。通过直方图平移增大直方图重叠面积,从而得到优良的色彩还原效果。由于采用居中的直方图作为平移基准,在保证色彩还原性能的同时降低了显示屏端功耗。与传统的算法相比,该算法只有加减运算,使得硬件实现的复杂度大大降低。经验证,该算法具有优良的性能表现,其直方图重叠面积(OA)比灰度世界算法高23%,比白点补丁算法高43%。此外,该算法处理所得图像在屏端的显示功耗(PD)是灰度世界算法的96%,是白点补丁算法的73%。","authors":[{"authorName":"黄成强","id":"eafbbd81-3397-487c-af13-d807add34520","originalAuthorName":"黄成强"},{"authorName":"李天华","id":"f532434b-950f-4de2-872d-00d14e8ed4cb","originalAuthorName":"李天华"},{"authorName":"贺娟","id":"45fb7875-6908-4b4b-80e3-0e728413f218","originalAuthorName":"贺娟"}],"doi":"10.3788/YJYXS20163110.0983","fpage":"983","id":"fc85c4ec-69aa-4e61-828a-92d105287f70","issue":"10","journal":{"abbrevTitle":"YJYXS","coverImgSrc":"journal/img/cover/YJYXS.jpg","id":"72","issnPpub":"1007-2780","publisherId":"YJYXS","title":"液晶与显示 "},"keywords":[{"id":"5067588d-927a-4f08-9a74-a9afa430427b","keyword":"AMOLED","originalKeyword":"AMOLED"},{"id":"a3cdc140-270a-439d-8a7d-cc9fb1a5b821","keyword":"色彩还原","originalKeyword":"色彩还原"},{"id":"dc61b420-9b09-49bb-afad-73155ceb8ae0","keyword":"直方图平移","originalKeyword":"直方图平移"},{"id":"ca1b6fba-a386-4072-8f5a-f1bca2c0095e","keyword":"功耗","originalKeyword":"功耗"}],"language":"zh","publisherId":"yjyxs201610008","title":"直方图平移的色彩还原算法研究","volume":"31","year":"2016"},{"abstractinfo":"近年来,基于三维图像的人脸识别技术已经取得了很大进展,在约束环境下也能获得很好的识别性能,但仍受限于姿态、表情等因素,需要从算法上改进才能解决其影响.本文分别从基于空域直接匹配、基于局部特征匹配和基于整体特征匹配3个角度出发,对人脸匹配算法以及融合算法进行了研究,列出了部分改进算法的实验结果,并分析了算法有效性的原因,总结了目前面临的三维人脸识别算法难以突破的一些困难及未来的研究趋势.","authors":[{"authorName":"胡敏","id":"8863b179-9104-45ee-94e2-9619e373c5c4","originalAuthorName":"胡敏"},{"authorName":"文永富","id":"9a09c104-e05f-4fa0-9859-5d6737f3b461","originalAuthorName":"文永富"}],"doi":"10.7517/j.issn.1674-0475.2017.02.131","fpage":"131","id":"1ce6c5c2-5bce-4c72-b10c-a281b60dad30","issue":"2","journal":{"abbrevTitle":"YXKXYGHX","coverImgSrc":"journal/img/cover/YXKXYGHX.jpg","id":"74","issnPpub":"1674-0475","publisherId":"YXKXYGHX","title":"影像科学与光化学 "},"keywords":[{"id":"391ddfb7-df54-4f1d-8bc0-6bd8094b5dc3","keyword":"三维人脸识别","originalKeyword":"三维人脸识别"},{"id":"487b1d9c-a194-4c0c-82d8-1a551c0b7883","keyword":"特征匹配","originalKeyword":"特征匹配"},{"id":"32fed93f-8d44-44db-9fb9-c6ca81024a98","keyword":"识别算法","originalKeyword":"识别算法"}],"language":"zh","publisherId":"ggkxyghx201702006","title":"三维人脸识别算法研究","volume":"35","year":"2017"},{"abstractinfo":"本文针对非稳态问题对IDEAL算法与PISO算法的计算效率展开对比研究,并以顶盖驱动流为数值算例,考察了雷诺数、时间步长和网格数的影响.数值计算结果表明:IDEAL算法与PISO算法各有优缺点,求解强非线性非稳态压力-速度耦合问题且精度要求较高时建议采用IDEAL算法.","authors":[{"authorName":"王会杰","id":"6c373230-c371-45e4-bb86-3f13b3153857","originalAuthorName":"王会杰"},{"authorName":"宇波","id":"0f4247e8-c2f4-43c2-8bc4-ccfd01dee998","originalAuthorName":"宇波"},{"authorName":"李敬法","id":"35585b52-1e53-49ac-bfd0-8df4fa8fec5d","originalAuthorName":"李敬法"},{"authorName":"张文华","id":"52805f75-9c19-4bb2-b8c1-c84fbf8cdb0d","originalAuthorName":"张文华"}],"doi":"","fpage":"1752","id":"4e7f516b-3163-4faa-a731-03fe1844adfb","issue":"8","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":"4eb90eef-c4a5-4f17-af5f-2947f5e8c85e","keyword":"IDEAL算法","originalKeyword":"IDEAL算法"},{"id":"6c449e85-edc4-4595-8e0c-c789d626d414","keyword":"PISO算法","originalKeyword":"PISO算法"},{"id":"3d7fe4b1-649b-46c2-9dae-bfd94b80c55f","keyword":"计算效率","originalKeyword":"计算效率"},{"id":"dc3ca309-6f4c-48c8-accb-978ab7d076b9","keyword":"非稳态","originalKeyword":"非稳态"}],"language":"zh","publisherId":"gcrwlxb201508028","title":"非稳态IDEAL算法与PISO算法计算效率对比研究","volume":"36","year":"2015"},{"abstractinfo":"对定量金相学与体视学中所规定的最常用的几个完形参数的实验方法及计算机模拟实验方法的算法分别加以描述.实际应用表明,该算法具有速度快,精度高的特点.","authors":[{"authorName":"崔凤奎","id":"3efbf06f-7114-4ba2-946c-4b9eefed201a","originalAuthorName":"崔凤奎"},{"authorName":"王晓强","id":"4e757560-441b-46c2-a64d-6c0626224b3f","originalAuthorName":"王晓强"},{"authorName":"张丰收","id":"a849ac70-0bcb-4726-8acc-0765be2e3f8d","originalAuthorName":"张丰收"}],"doi":"10.3969/j.issn.1005-0299.2000.03.025","fpage":"109","id":"7438793e-d2b9-4ea7-b436-a5d6fbfa9059","issue":"3","journal":{"abbrevTitle":"CLKXYGY","coverImgSrc":"journal/img/cover/CLKXYGY.jpg","id":"14","issnPpub":"1005-0299","publisherId":"CLKXYGY","title":"材料科学与工艺"},"keywords":[{"id":"d3a512cd-f645-4e87-a511-c692dc8b43e5","keyword":"定量金相","originalKeyword":"定量金相"},{"id":"1ec4b0c4-c4ab-4bd6-91ae-ace5a96ac7f7","keyword":"体积分数","originalKeyword":"体积分数"},{"id":"34127cba-1a28-4e4f-8aba-55ec7e49b6fa","keyword":"晶粒间距(平均自由程)","originalKeyword":"晶粒间距(平均自由程)"},{"id":"f83e6fa2-0717-4ed1-a3a0-40ebd9910b0a","keyword":"均匀 度","originalKeyword":"均匀 度"}],"language":"zh","publisherId":"clkxygy200003025","title":"定量金相分析算法及实现","volume":"8","year":"2000"},{"abstractinfo":"提出一种应用于平板显示的选择调整的亮度增强算法,可以在基本保留原图像暗部细节的同时,按照灰度级的原始值进行增强,从而在视频图像处理中达到较好的效果.在灰度模式下,该算法可以避免传统处理带来的对比度减小,从而保留更多的暗部细节.在RGB彩色模式下,该算法还可以避免传统亮度调整算法带来的灰度级不连续分布,使得调整后的RGB三个分量的直方图中灰度级连续分布,图像的色彩范围和色彩饱和度可以达到比以前更好的效果.","authors":[{"authorName":"董菁","id":"6eafc16e-9352-48dd-975f-157ff17e83b1","originalAuthorName":"董菁"},{"authorName":"吴胜利","id":"f5549931-2b6c-42d6-a445-d9cdb947ff99","originalAuthorName":"吴胜利"},{"authorName":"王丰","id":"52b4eb7c-11eb-4261-9a5b-b23b8b0c25e5","originalAuthorName":"王丰"},{"authorName":"刘纯亮","id":"bb76d7ca-ce5b-4020-b026-1451061cc741","originalAuthorName":"刘纯亮"},{"authorName":"孟令国","id":"05128abd-0612-427a-a112-e03962985d1f","originalAuthorName":"孟令国"}],"doi":"10.3969/j.issn.1007-2780.2008.04.009","fpage":"437","id":"b431665f-0706-467a-b99f-d31c4aa62f5c","issue":"4","journal":{"abbrevTitle":"YJYXS","coverImgSrc":"journal/img/cover/YJYXS.jpg","id":"72","issnPpub":"1007-2780","publisherId":"YJYXS","title":"液晶与显示 "},"keywords":[{"id":"f5d19ddb-7fba-4593-8101-b52ce0056a2b","keyword":"亮度增强","originalKeyword":"亮度增强"},{"id":"112d0784-4d27-4d3e-9a2d-532c2d690f78","keyword":"直方图","originalKeyword":"直方图"},{"id":"d511226a-d35e-4528-9f5d-edfe37a94a7f","keyword":"非线性变换","originalKeyword":"非线性变换"},{"id":"bddd7b0f-d131-436c-b510-a89f515ed4bd","keyword":"颜色饱和度","originalKeyword":"颜色饱和度"},{"id":"c59c7986-67b4-4e0d-8ca2-0514252f774a","keyword":"对比度","originalKeyword":"对比度"}],"language":"zh","publisherId":"yjyxs200804009","title":"选择调整的亮度增强算法","volume":"23","year":"2008"},{"abstractinfo":"炉温制度的优化是炉子优化控制的基础,它包括炉温优化目标函数的确定和目标函数极值的求解两方面.本文建立了连续加热炉板坯加热的稳态数学模型和炉温优化模型.应用所建立的稳态数学模型定量分析了各段炉温变化对钢坯加热过程的影响,形成了启发式算法规则集.建立了考虑出炉钢坯平均温度及断面温差的目标函数,采用启发式搜索算法对钢坯加热过程的炉温制度进行了优化,对优化前后的钢坯平均温度及断面温差的进行了对比分析.计算结果表明,本文所归纳的启发式搜索规则可以满足该模型启发式算法的要求,也表明启发式搜索算法可作为加热炉炉温优化的基本算法.","authors":[{"authorName":"李国军","id":"11a0f7c9-2367-4dee-b1ff-6811556b7a60","originalAuthorName":"李国军"},{"authorName":"雷薇","id":"8062b1de-c4d1-4313-98af-b21795c8207c","originalAuthorName":"雷薇"},{"authorName":"陈海耿","id":"3750324f-bbe2-48ec-b37a-08c72188b427","originalAuthorName":"陈海耿"}],"doi":"10.3969/j.issn.1671-6620.2011.04.019","fpage":"325","id":"3a8d3b62-9e4d-497a-b0d4-c45d3206cb80","issue":"4","journal":{"abbrevTitle":"CLYYJXB","coverImgSrc":"journal/img/cover/CLYYJXB.jpg","id":"17","issnPpub":"1671-6620","publisherId":"CLYYJXB","title":"材料与冶金学报"},"keywords":[{"id":"16ecd6bc-ec95-44b2-b9b2-91576ae1e8e9","keyword":"加热炉模型","originalKeyword":"加热炉模型"},{"id":"d2f160e0-c418-4762-b67b-05049b7c2a87","keyword":"启发式算法","originalKeyword":"启发式算法"},{"id":"98b07d72-6f3f-467e-ad3f-664789764952","keyword":"元体平衡法","originalKeyword":"元体平衡法"},{"id":"c1c6f09e-281e-4dac-b702-e32cd87c3d07","keyword":"炉温优化","originalKeyword":"炉温优化"}],"language":"zh","publisherId":"clyyjxb201104019","title":"加热炉炉温优化算法研究","volume":"10","year":"2011"}],"totalpage":215,"totalrecord":2142}