登录
首页 » C# » C# 使用Halcon进行模板匹配定位

C# 使用Halcon进行模板匹配定位

于 2020-07-02 发布 文件大小:4891KB
0 246
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

下载说明:请别用迅雷下载,失败请重下,重下不扣分!

发表评论

0 个回复

  • retinex_frankle_mccann
    Retinex算法对较暗区域的图像处 理有明显效果,改进的Retinex方法则是基于经典Retinex,对具有较高亮度的遥感图像通过图像变 换方法达到去除模糊的目的。 (Retinex algorithm for image processing on the dark region was effective to improve the Retinex method is based on the classic Retinex, on remote sensing images with high brightness achieved by an image transformation method aims to remove ambiguity.)
    2010-06-10 16:24:00下载
    积分:1
  • avegrad
    有关于求取图像平均梯度的matlab M 文件;可以为你省去那么一点时间。 ———共享改变未来!———(To strike the image on the average gradient matlab M documents can save you a bit of time.--- Shared change the future!---)
    2011-06-03 10:47:33下载
    积分:1
  • Image12
    VC编写的位图图像处理的源代码,包括了增强、变换等内容(VC prepared bitmap images deal with the source code, including the enhanced transformation, etc.)
    2007-10-17 22:41:08下载
    积分:1
  • image_enhangce_value
    图像增强效果评价指标:1.欧拉范数误差指标 2.等效视数 3.边缘保持指数 4.对比度增强指数(Evaluating results of image enhancement: 1. Oula Fan error index number 2. Equivalent number of 3. Edge-preserving index 4. Contrast enhancement index)
    2011-05-16 09:14:13下载
    积分:1
  • wavelet-image-fusion
    小波方法的多焦点图像融合,用的融合规则为Yong Yang:A Novel DWT Based Multi-focus Image Fusion Method的方法(Wavelet method for multi-focus image fusion, the fusion rules: A Novel DWT Based Multi-focus Image Fusion Method method Yong Yang,)
    2012-12-08 22:20:40下载
    积分:1
  • 神经网络实现人脸识别任务
    通过python第三方库和matlab神经网络工具箱实现人脸识别(Face recognition using MATLAB and python through neural network)
    2017-11-29 00:29:58下载
    积分:1
  • 1D_wavelet
    用一维小波变换进行图像去噪处理,有较低的计算复杂度,提高效率和计算速度。(Victoria with a wavelet transform image denoising, lower computational complexity, increase efficiency and speed.)
    2006-11-06 09:35:38下载
    积分:1
  • fenge
    图像分割的一个小程序。经过检验,直接运行没问题。希望对大家有用,在这里分享了。(A small program for image segmentation. Tested directly run no problem. We want to share here.)
    2013-05-16 07:32:15下载
    积分:1
  • MainWindow
    车辆检测,车辆识别,对输入的车辆图像进行识别并输出识别结果(Vehicle detection, vehicle recognition, recognition of input vehicle images and output of recognition results.)
    2020-06-29 18:00:01下载
    积分:1
  • TV
    说明:  TV算法的MATLAB版,绝对好用,已经经过本人测试过的(TV algorithm in MATLAB version, absolutely easy to)
    2012-07-23 10:56:48下载
    积分:1
  • 696516资源总数
  • 106914会员总数
  • 0今日下载