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指纹识别完整程序代码
It initializes the entire image processing. The simulation parameters can be changed in this main file.
- 2018-04-19 09:13:29下载
- 积分：1
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vga
说明： vga实用编程技术,用C语言编写.演示程序在\VGA\DEMO\VGADEMO.EXE(vga practical programming techniques, using C language. demo program \ VGA \ DEMO \ VGADEMO.EXE)
- 2010-03-29 16:52:57下载
- 积分：1
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qpegps_0.2.3.tar
用于PDA的GPS源代码(for PDA GPS source code)
- 2004-11-13 15:09:56下载
- 积分：1
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Dictionary_Low-Rank_SAR
基于字典学习和矩阵低秩稀疏分解的SAR图像处理新方法，拓展了低秩稀疏分解的应用领域，有很好的应用前景。(Dictionary Learning and Low-rank Sparse Matrix Decomposition for Sparsity-driven SAR Image Reconstruction)
- 2015-04-29 09:40:21下载
- 积分：1
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OutputWord
实现热键截图的功能，把截到的图片保存到制定的文件夹中，然后把图片输出到报表中，形成报表！(Achieve hotkey screenshot function, the cut-off to save the picture to develop a folder, and then the picture output in the report, the formation of statements!)
- 2013-10-18 18:10:43下载
- 积分：1
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zuijiayuzhi
找出图象的最佳阈值，并显示它的二值图．(find the best image threshold, and it shows the value of Figure 2.)
- 2006-06-26 01:24:34下载
- 积分：1
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水下图像去雾与增强
这篇论文提出了一种较好的水下图像增强的方法。首先使用经过端到端训练的卷积神经网络去测量输入图片，同时以自适应双边滤波器对传输图片进行处理。接着提出一种基于白平衡的策略来消除图片的颜色偏差，用拉普拉斯金字塔融合获得无雾和色彩校正图像的融合结果。 最后，输出图像被转换为混合小波和方向滤波器组（HWD）域，用于去噪和边缘增强。 实验结果表明，该方法可以消除颜色失真，提高水下图像的清晰度。(This paper proposes a better underwater image enhancement method. Firstly, an end-to-end training convolutional neural network is used to measure the input image, and an adaptive bilateral filter is used to process the transmitted image. Then a strategy based on white balance is proposed to eliminate the color deviation of images. The fusion results of fog-free and color correction images are obtained by Laplacian pyramid fusion. Finally, the output image is converted into hybrid wavelet and directional filter bank (HWD) domain for denoising and edge enhancement. The experimental results show that the method can eliminate color distortion and improve the clarity of underwater images.)
- 2020-11-02 14:59:54下载
- 积分：1
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xulietuxiangjianceyuchongjian
针对目前工业制造领域面临的难题,提出利用非量测数字摄像机进行工业钣金件高精度三维重建与视觉检测.采用二维直接线性变换分解摄像机参数初值并结合光束法平差进行高精度标定 利用最小二乘模板匹配提取像面上的点、直线信息并进行混合光束法平差,从而进行钣金件的高精度三维重建及其尺寸制造误差的检测.所开发的视觉检测系统硬件成本低、自动化程度较高,实际数据的多次实验均取得了优于1/8 000的相对精度,说明所论述的方法为工业零件的自动化三维检测提供了一条可行途径.(View of the current challenges facing the field of industrial manufacturing, made use of non-metric digital camera precision sheet metal parts for industrial reconstruction and visual inspection. Using two-dimensional direct linear transformation and the decomposition of initial parameters of the camera bundle adjustment with high accuracy calibration extracted by the least square template matching, like the surface of point, line information and mixed bundle adjustment to the three-dimensional reconstruction of high-precision sheet metal parts and the size of the detection of manufacturing errors. visual inspection system developed by the hardware low cost, high degree of automation, the actual data, many experiments have achieved better than 1/8000 of the relative accuracy, that the methods discussed in the automation of industrial components to provide a feasible three-dimensional detection approach.)
- 2010-12-02 11:56:32下载
- 积分：1
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利用聚类技术实现纹理分割
说明： a）针对合成纹理图像（共有4 个合成纹理图像，见文件夹：
Texture_mosaic_data）中每一个像素提取纹理特征向量；
b）利用聚类技术（推荐用k‐均值聚类，可以从网上查找原码）对特征向
量空间中的点进行聚类，类别数可根据图像中的实际纹理类数确定。最后把类
属标签映射成图像形式显示（如下图，其中b、d、f、h 为相应的基准分割图像）。(A) for synthetic texture images (there are 4 synthetic texture images in total, see the folder:
Texture feature vector is extracted from every pixel in texture;
B) use clustering technology (K-means clustering is recommended, and the original code can be found on the Internet) to search the feature direction
The number of categories can be determined according to the actual number of texture classes in the image. Last class
The generic label is mapped to an image (as shown in the figure below, where B, D, F, h are the corresponding reference segmentation images).)
- 2020-12-06 17:59:22下载
- 积分：1
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Crop_photo
实现对图像的任意形状的裁剪。注意：图像裁剪后带有背景色(Realization of arbitrary shape image cropping. Note: the image is cropped with a background color)
- 2014-12-21 21:07:23下载
- 积分：1
