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C#对图像处理，绘制直方图，线性点运算，灰度拉伸，直方图均衡，直方图匹配-C# for image processing, histogram mapping, linear point operations, gray stretch, histogram equalization, histogram matching
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surf算法是现在最新的寻找图像特征点并匹配的算法，与SIFT算法相比速度更快，可以用在3D重建、图像拼接等多个领域-surf algorithm is now the latest to find the image feature points and matching algorithms, compared with the SIFT algorithm is faster, can be used in 3D reconstruction, image mosaic, and othe
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以C sharp編程圖像有關绘制直方图、线性点运算、灰度拉伸、直方图均衡、直方图匹配-C sharp programming in order to draw the image on the histogram, linear point operations, gray stretch, histogram equalization, histogram matching
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基于NewMikolajczykDetector产生的.sift文件的特征点匹配！-Image matching and object recognition Based on .sift file generated by NewMikolajczykDetector
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This a simple application developed in C# and uses the Emgu CV library. Emgu CV lib is a wrapper around OpenCV than enables .NET languages to use the OpenCV lib.
The algorithm showcased in the source code is about template matching and object recog
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康耐视 机器视觉的运行编写的程序，用于图像匹配和精确定位-Cognex machine vision to run programs written for image matching and precise positioning
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1下载：
康耐视 机器视觉的运行编写的程序，用于图像匹配和精确定位-Cognex machine vision to run programs written for image matching and precise positioning
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Compared with the results of theoretical analysis, Particle image segmentation and matching subroutines themselves are prepared, Including quaternion various calculations.
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The signal spectral analysis and filtering, It has a wealth of parameter options, Particle image segmentation and matching subroutines themselves are prepared.
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Simulation of doubly fed induction generator system, Partially achieved tracking speed iterative relaxation algorithm, Particle image segmentation and matching subroutines themselves are prepared.
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Welcome to download the study, Including stochastic gradient algorithm, the relative gradient algorithm, Particle image segmentation and matching subroutines themselves are prepared.
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Matlab to achieve user-friendly, Principal component analysis of multivariate data analysis projection, Particle image segmentation and matching subroutines themselves are prepared.
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