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交通视频车辆检测，实现步骤为： 1.读取视频文件 2.利用图像提取相关算法检测单帧图像中的车辆 3.车辆检测算法应用于视频图像中 4.将结果可视化(Traffic video vehicle detection, the steps of: 1. Read the video file 2. Image extracting the vehicle in a single image of the correlation algorithm detecting vehicle detection algorithm applied to the video image. Results visualization)

C# WPF 图片局部放大镜 示例源码

用差分盒维数处理图像，通过对图像分块，然后每一块来计算该区域的分维数，将其作为该区域所有像素上每一像素的分维数。然后，增强分维数分布图效果，然后取阈值，最后，给人造目标加框。(Differential box counting process the image, the image block, and then every one to calculate the fractal dimension of the region, as all the pixels in the region of each pixel on the fractal dimension. Then enhanced fractal dimension distribution effect, and then take the threshold, and finally, to the man-made objects framed.)

光场图像渲染技术，利用稀疏分层算法对图像深度进行分层渲染，再利用颜色一致性约束进行去噪处理，通过所给出的图像阵列渲染出中间各个视点的图像(Optical field image rendering technology, the use of sparse hierarchical algorithm for image depth rendering, and then the use of color consistency constraints for noise processing, through the given image array to render the image of the middle of the various views)

用于产生离散高斯函数的Matlab源代码。(Discrete Gaussian function used to produce the Matlab source code.)

有关目标的匹配跟踪代码，简单易懂，里面含有丰富的测试图片，和最终的测试效果图(The target matching tracking code, easy to understand, which contains a wealth of test images, and the final test renderings)

数字图像处理实验-图像处理-含实验题目及源代码(Pseudo-Color Image Processing (a) Implement Fig. 6.23, with the characteristic that you can specify two ranges of gray-level values for the input image and your program will output an RGB image whose pixels have a specified color corresponding to one range of gray levels in the input image, and the remaining pixels in the RGB image have the same shade of gray as they had in the input image. You can limit the input colors to all the colors in Fig. 6.4(a). (b) Download the image in Fig. 1.10(4) and process it with your program so that the river appears yellow and the rest of the pixels are the same shades of gray as in the input image. It is acceptable to have isolated specs in the image that also appear yellow, but these should be kept as few as possible by proper choice of the two gray-level bands that you input into your program.)

灰度双线性插值，缩放图像。可以对图像进行几乎无损的小倍数放大，倍数大时有损。(Gray bilinear interpolation, zooming the image. Can be almost non-destructive image to enlarge small multiples, multiples of large detrimental.)

RAw格式图片的显示，边缘检测，包括SOBEL算子，具有不同模板的拉普拉斯算子边缘检测，以及一些简单的滤波方式(sadfsadf asdfasdf asdf)

对图像进行细化，本实验的细化对象是一组指纹二值图。(Image refinement, the refinement of the experimental object is a set of fingerprint binary image.)