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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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下载积分: 1 下载次数: 108

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

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  • jpeg
    本项目成功地实现了jpeg图像的压缩非常实用!!!!!!(The project successfully realized the jpeg image compression is very useful!!!!!!!!!!!!!!!!)
    2016-03-13 05:37:57下载
    积分:1
  • three_lowpass_filters
    彩色图像转为灰度图像,灰度图像的傅里叶低通滤波,彩色图像的傅里叶低通滤波,三种滤波器的三维表示(Transforming a color image to a grayscale image Do low-pass filtering to a grayscale or color image by Fourier transform The three-dimensional representation of three types of filters )
    2020-07-03 05:20:01下载
    积分:1
  • Graph_Syncretize
    说明:  包括IHS,PCA Fusio,加权图像融合算法的Matlab源代码!主要运用在GSM中卫星图像处理,里面有例子图片,可以清晰的看见处理效果!(including IHS, PCA Fusio, the weighted image fusion algorithms Matlab source code! The main use of the GSM satellite image processing, there are examples of photographs, can clearly see the effect!)
    2020-09-02 16:08:08下载
    积分:1
  • fuzzy-clustering-segmentation
    模糊聚类分割主函数及demo,直接运行就行,当然要有图片,呵呵(Main functions and fuzzy clustering segmentation demo, run directly on the line, of course, have pictures, Oh)
    2011-08-08 15:49:54下载
    积分:1
  • ViBe-master
    前景检测 对动态背景进行多角度监测 动态背景检测(Foreground detection is used to monitor dynamic background from different angles)
    2020-11-17 21:19:39下载
    积分:1
  • Wavelet-Denoising
    用小波去噪,不同尺度下的阀值去噪,去噪效果的对比(With wavelet denoising threshold denoising different scales, denoising effect contrast)
    2013-04-10 23:00:07下载
    积分:1
  • MS_matlab
    Mean shift and other image segmentation algorithms.
    2012-03-18 13:28:03下载
    积分:1
  • Lee
    增强型Lee滤波,附有详细注释,简单易用,参数可调(enhanced LEE filter)
    2021-04-17 16:38:52下载
    积分:1
  • 实现的无损压缩
    该程序主要实现图像的无损压缩,具体算法包括: (1)整数小波变换+SPIHT无损压缩 其中整数小波可以采用JPEG2000提供的5-3小波,也可以采用S+P变换,本程序均已给出。 (2)DPCM+算术编码 DPCM采用的是JPEG中采用的方法; (3)JPEG-LS标准 JPEG-LS的无损压缩性能非常好,超过JPEG2000。(The program mainly realize lossless image compression, the specific algorithm include: (1) integer wavelet transform SPIHT Integer Wavelet lossless compression which can be used to provide the 5-3 wavelet JPEG2000, can also adopt the S P transform, the procedures are given. (2) DPCM arithmetic coding DPCM is used in JPEG methodology (3) JPEG-LS standard JPEG-LS lossless compression of very good performance, more than JPEG2000.)
    2008-06-02 11:01:57下载
    积分:1
  • demo_MLS-My
    用matlab对点云数据进行曲面分析,对三维点云配准算法有很大的改进作用。(Using matlab for point cloud data for surface analysis, the three-dimensional point cloud registration algorithm has greatly improved effect.)
    2013-06-03 18:18:56下载
    积分:1
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