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C# 使用Halcon进行模板匹配定位

于 2020-07-02 发布 文件大小:4891KB
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代码说明：

  C# 使用Halcon进行模板匹配定位(C# uses Halcon for template matching and location)

文件列表：

Machine Vision
Machine Vision\Machine Vision
Machine Vision\Machine Vision\bin
Machine Vision\Machine Vision\bin\Debug
Machine Vision\Machine Vision\bin\Debug\Config
Machine Vision\Machine Vision\bin\Debug\Config\Config.ini, 50, 2016-09-06
Machine Vision\Machine Vision\bin\Debug\halcondotnet.dll, 1279632, 2016-02-25
Machine Vision\Machine Vision\bin\Debug\halcondotnet.xml, 4078287, 2016-02-25
Machine Vision\Machine Vision\bin\Debug\Log
Machine Vision\Machine Vision\bin\Debug\Machine Vision.exe, 157696, 2016-09-08
Machine Vision\Machine Vision\bin\Debug\Machine Vision.pdb, 163328, 2016-09-08
Machine Vision\Machine Vision\bin\Debug\Machine Vision.vshost.exe, 22472, 2016-09-08
Machine Vision\Machine Vision\bin\Debug\Result
Machine Vision\Machine Vision\bin\Debug\Result\20160904_111203.bmp, 685222, 2016-09-04
Machine Vision\Machine Vision\bin\Debug\Result\20160904_111401.bmp, 685222, 2016-09-04
Machine Vision\Machine Vision\bin\Debug\Result\20160904_111407.bmp, 685222, 2016-09-04
Machine Vision\Machine Vision\bin\Debug\Result\20160904_111412.bmp, 685222, 2016-09-04
Machine Vision\Machine Vision\bin\Debug\Result\20160904_111414.bmp, 685222, 2016-09-04
Machine Vision\Machine Vision\bin\Debug\Result\20160904_111416.bmp, 685222, 2016-09-04
Machine Vision\Machine Vision\bin\Debug\Result\20160904_111418.bmp, 685222, 2016-09-04
Machine Vision\Machine Vision\bin\Debug\Result\20160904_111425.bmp, 685222, 2016-09-04
Machine Vision\Machine Vision\bin\Debug\Result\20160904_111427.bmp, 685222, 2016-09-04
Machine Vision\Machine Vision\bin\Debug\Result\20160904_111431.bmp, 685222, 2016-09-04
Machine Vision\Machine Vision\bin\Debug\Result\20160904_111432.bmp, 685222, 2016-09-04
Machine Vision\Machine Vision\bin\Debug\Result\20160904_111435.bmp, 685222, 2016-09-04
Machine Vision\Machine Vision\bin\Debug\Result\20160904_112154.bmp, 685222, 2016-09-04
Machine Vision\Machine Vision\bin\Debug\Result\20160904_112156.bmp, 685222, 2016-09-04
Machine Vision\Machine Vision\bin\Debug\Result\20160904_112158.bmp, 685222, 2016-09-04
Machine Vision\Machine Vision\bin\Debug\Result\20160904_112200.bmp, 685222, 2016-09-04
Machine Vision\Machine Vision\bin\Debug\Result\20160904_112220.bmp, 685222, 2016-09-04
Machine Vision\Machine Vision\bin\Debug\Result\20160904_112221.bmp, 685222, 2016-09-04
Machine Vision\Machine Vision\bin\Debug\Result\20160904_112243.bmp, 685222, 2016-09-04
Machine Vision\Machine Vision\bin\Debug\Result\20160904_113635.bmp, 685222, 2016-09-04
Machine Vision\Machine Vision\bin\Debug\Result\20160904_113640.bmp, 685222, 2016-09-04
Machine Vision\Machine Vision\bin\Debug\Result\20160904_113644.bmp, 685222, 2016-09-04
Machine Vision\Machine Vision\bin\Debug\Result\20160904_113650.bmp, 685222, 2016-09-04
Machine Vision\Machine Vision\bin\Debug\Result\20160904_113653.bmp, 685222, 2016-09-04
Machine Vision\Machine Vision\bin\Debug\Result\20160904_113655.bmp, 685222, 2016-09-04
Machine Vision\Machine Vision\bin\Debug\Result\20160904_113656.bmp, 685222, 2016-09-04
Machine Vision\Machine Vision\bin\Debug\Result\20160904_113658.bmp, 685222, 2016-09-04
Machine Vision\Machine Vision\bin\Debug\Result\20160904_113701.bmp, 685222, 2016-09-04
Machine Vision\Machine Vision\bin\Debug\Result\20160904_113703.bmp, 685222, 2016-09-04
Machine Vision\Machine Vision\bin\Debug\Result\20160904_115936.bmp, 685222, 2016-09-04
Machine Vision\Machine Vision\bin\Debug\Result\20160905_102845.bmp, 685222, 2016-09-05
Machine Vision\Machine Vision\bin\Debug\Result\20160905_104025.bmp, 693398, 2016-09-05
Machine Vision\Machine Vision\bin\Debug\Result\20160905_104030.bmp, 693398, 2016-09-05
Machine Vision\Machine Vision\bin\Debug\Result\20160905_104044.bmp, 693398, 2016-09-05
Machine Vision\Machine Vision\bin\Debug\Result\20160905_104249.bmp, 693398, 2016-09-05
Machine Vision\Machine Vision\bin\Debug\Result\20160905_104406.bmp, 693398, 2016-09-05
Machine Vision\Machine Vision\bin\Debug\Result\20160905_104502.bmp, 693398, 2016-09-05
Machine Vision\Machine Vision\bin\Debug\Result\20160905_104504.bmp, 693398, 2016-09-05
Machine Vision\Machine Vision\bin\Debug\Result\20160905_104505.bmp, 693398, 2016-09-05
Machine Vision\Machine Vision\bin\Debug\Result\20160905_104516.bmp, 693398, 2016-09-05
Machine Vision\Machine Vision\bin\Debug\Result\20160905_104721.bmp, 693398, 2016-09-05
Machine Vision\Machine Vision\bin\Debug\Result\20160905_104745.bmp, 693398, 2016-09-05
Machine Vision\Machine Vision\bin\Debug\Result\20160905_104922.bmp, 693398, 2016-09-05
Machine Vision\Machine Vision\bin\Debug\Result\20160905_104923.bmp, 693398, 2016-09-05
Machine Vision\Machine Vision\bin\Debug\Result\20160905_104931.bmp, 693398, 2016-09-05
Machine Vision\Machine Vision\bin\Debug\Result\20160905_104948.bmp, 693398, 2016-09-05
Machine Vision\Machine Vision\bin\Debug\Result\20160905_115610.bmp, 685222, 2016-09-05
Machine Vision\Machine Vision\bin\Debug\Result\20160905_115613.bmp, 685222, 2016-09-05
Machine Vision\Machine Vision\bin\Debug\Result\20160905_115615.bmp, 685222, 2016-09-05
Machine Vision\Machine Vision\bin\Debug\Result\20160905_115618.bmp, 685222, 2016-09-05
Machine Vision\Machine Vision\bin\Debug\Result\20160905_115620.bmp, 685222, 2016-09-05
Machine Vision\Machine Vision\bin\Debug\Result\20160905_115625.bmp, 685222, 2016-09-05
Machine Vision\Machine Vision\bin\Debug\Result\20160905_115627.bmp, 685222, 2016-09-05
Machine Vision\Machine Vision\bin\Debug\Result\20160905_115629.bmp, 685222, 2016-09-05
Machine Vision\Machine Vision\bin\Debug\Result\20160905_120156.bmp, 685222, 2016-09-05
Machine Vision\Machine Vision\bin\Debug\Result\20160905_120350.bmp, 685222, 2016-09-05
Machine Vision\Machine Vision\bin\Debug\Result\20160905_120355.bmp, 685222, 2016-09-05
Machine Vision\Machine Vision\bin\Debug\Result\20160905_120358.bmp, 685222, 2016-09-05
Machine Vision\Machine Vision\bin\Debug\Result\20160905_120359.bmp, 685222, 2016-09-05
Machine Vision\Machine Vision\bin\Debug\Result\20160905_120434.bmp, 685222, 2016-09-05
Machine Vision\Machine Vision\bin\Debug\Result\20160905_120439.bmp, 685222, 2016-09-05
Machine Vision\Machine Vision\bin\Debug\Result\20160906_073433.bmp, 685222, 2016-09-06
Machine Vision\Machine Vision\bin\Debug\Result\20160906_073455.bmp, 685222, 2016-09-06
Machine Vision\Machine Vision\bin\Debug\Result\20160906_073849.bmp, 685222, 2016-09-06
Machine Vision\Machine Vision\bin\Debug\Result\20160906_073859.bmp, 685222, 2016-09-06
Machine Vision\Machine Vision\bin\Debug\Result\20160906_090001.bmp, 789686, 2016-09-06
Machine Vision\Machine Vision\bin\Debug\Result\20160906_090032.bmp, 789686, 2016-09-06
Machine Vision\Machine Vision\bin\Debug\Result\20160906_090036.bmp, 789686, 2016-09-06
Machine Vision\Machine Vision\bin\Debug\Result\20160906_091741.bmp, 768678, 2016-09-06
Machine Vision\Machine Vision\bin\Debug\Result\20160906_092808.bmp, 726006, 2016-09-06
Machine Vision\Machine Vision\bin\Debug\Result\20160906_101159.bmp, 685222, 2016-09-06
Machine Vision\Machine Vision\bin\Debug\Result\20160906_101306.bmp, 685222, 2016-09-06
Machine Vision\Machine Vision\bin\Debug\Result\20160906_101310.bmp, 685222, 2016-09-06
Machine Vision\Machine Vision\bin\Debug\Result\20160906_101311.bmp, 685222, 2016-09-06
Machine Vision\Machine Vision\bin\Debug\Result\20160906_101312.bmp, 685222, 2016-09-06
Machine Vision\Machine Vision\bin\Debug\Result\20160906_102045.bmp, 685222, 2016-09-06
Machine Vision\Machine Vision\bin\Debug\Result\20160906_102046.bmp, 685222, 2016-09-06
Machine Vision\Machine Vision\bin\Debug\Result\20160906_102048.bmp, 685222, 2016-09-06
Machine Vision\Machine Vision\bin\Debug\Result\20160906_102050.bmp, 685222, 2016-09-06
Machine Vision\Machine Vision\bin\Debug\Result\20160906_102055.bmp, 685222, 2016-09-06
Machine Vision\Machine Vision\bin\Debug\Result\20160906_102057.bmp, 685222, 2016-09-06
Machine Vision\Machine Vision\bin\Debug\Result\20160906_102610.bmp, 685222, 2016-09-06
Machine Vision\Machine Vision\bin\Debug\Result\20160906_104748.bmp, 564750, 2016-09-06
Machine Vision\Machine Vision\bin\Debug\Result\20160906_120449.bmp, 685222, 2016-09-06
Machine Vision\Machine Vision\bin\Debug\Result\20160906_120501.bmp, 685222, 2016-09-06
Machine Vision\Machine Vision\bin\Debug\Result\20160906_120511.bmp, 685222, 2016-09-06
Machine Vision\Machine Vision\bin\Debug\Result\20160906_120520.bmp, 678582, 2016-09-06

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发表评论

0 个回复

  • benhui_v86
    未来线路预测,分析误差,粒子图像分割及匹配均为自行编制的子例程，能量谱分析计算。( Future line prediction, error analysis, Particle image segmentation and matching subroutines themselves are prepared, Energy spectrum analysis and calculation.)
    2016-11-29 21:21:55下载
    积分：1
  • universal_index
    图像质量评价指标，是这篇文章“a universial image quality index”的源代码 (Image quality evaluation, the article " a universial image quality index" of source code)
    2012-08-14 10:01:33下载
    积分：1
  • RANSAC
    Ransac拟合直线和最小二乘法拟合的比较，对初次接触ransac的读者帮助很大(Ransac fitting straight line and the least-squares fitting of the comparison, the initial contact with the readers of great help to ransac)
    2009-12-09 18:37:40下载
    积分：1
  • 2412
    双线性插值图象的旋转源码，程序结合易语言位图操作支持库和图像格式转换支持库，调用API函数和置入汇编代码，实现双线性插值图象的缩放旋转。(Source bilinear interpolation image rotation , combined with easy language program bitmap operations support libraries and image format conversion support library , call the API function and into assembly code , zoom in rotation bilinear interpolation image.)
    2015-07-11 16:23:35下载
    积分：1
  • lane-detect
    canny边缘检测，还有车道线检测。效果还可以。(canny edge detection, and lane detection. The effect can be.)
    2014-01-14 16:44:00下载
    积分：1
  • headCountCode
    采用了Harrtraining和离子滤波算法实现了拥挤人群人头计数，非常有用。VC++和Opencv开发，采用Oepncv中的Harrtraining训练一个分类器即可运行(Human detection and tracking in high density crowds is an unsolved problem. Standard preprocessing techniques such as background modeling fail when most of the scene is in motion. We integrate human detection and tracking into a single framework, and in- troduce a con rmation-by-classi cation method to estimate con dence in a tracked trajectory, track humans through occlusions, and eliminate false positive detections.)
    2021-03-05 17:39:31下载
    积分：1
  • WFC-system-image-process
    这是针对波前编码成像系统模拟，以及图像复原模拟代码(this is the wavefront coding image processing code of WFC optic system. it is very useful in WFC syetem for research .)
    2021-04-06 11:59:02下载
    积分：1
  • FTVd
    快速TV算法用于图像去模糊、图像去噪等，其中TV模式包括两种(TV went fast algorithm for image blur, image denoising, which includes two TV mode)
    2020-06-29 16:40:02下载
    积分：1
  • EdgeDetectionAndExtraction
    边缘检测与提取，轮廓跟踪 注意事项： 运行时，文件c: est.bmp必须存在(Edge detection and extraction, contour tracing Note: run-time, file c: test.bmp must exist)
    2009-03-11 15:00:42下载
    积分：1
  • bmpfile_read
    bmp文件的读取,2,8,16,24bit自适配(bmp file read,2、8、16、24bit adjust)
    2012-11-21 23:23:14下载
    积分：1
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