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ImageProcessing

于 2008-11-25 发布 文件大小:2KB
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说明:  用C语言实现图像的平滑,锐化及双线性内插算法的实现,效果很好(Using C language to achieve image smoothing, sharpening and bilinear interpolation algorithm to achieve good results)

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ImageProcessing.c

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    视频演示算法包括: 1. 静态背景下的背景预测法目标检测 2. 静态背景下帧间差分法目标检测 3. Mean Shift目标跟踪方法 4. 重心多目标跟踪方法 (Algorithm for video presentation include: 1. Static background background prediction target detection 2. Static background frame difference method for target detection 3. Mean Shift tracking method 4. Gravity multi-target tracking method)
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    2014-11-05 09:51:32下载
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    在图像传输时,常常需要对图像进行压缩,这些代码用来对图像进行压缩编码。(In the image transmission, it is often the need for image compression, the code used to image compression.)
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    积分:1
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    最小二乘法拟合圆vc实现,最小二乘法(least squares analysis)是一种 数学 优化 技术,它通过 最小化 误差 的平方和找到一组数据的最佳 函数 匹配。 最小二乘法是用最简的方法求得一些绝对不可知的真值,而令误差平方之和为最小。(least squares fitting round vc realized, least-squares method (least squares analysis) is a mathematical optimization techniques, It error by minimizing the square and a group of data to find the best matching function. Least-squares method is the most simple method to derive absolutely true value unknown, and so the sum of squared errors to the minimum.)
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    说明:  用于三维空间坐标系变换的7参数模型,在设计坐标系变换的各行业应用中用的最多,从数学角度来说也是最严密的转换方法。 由于结果中最多可求得七个转换参数,即三个平移参数、三个旋转参数(Ex、Ey、Ez)和一个尺度缩放因子(m),因此,通常也被称为七参数法。 (Three-dimensional coordinate system transformation for the 7 parameter model, coordinate system transformation in the design of applications using the most, the industry, from the mathematical point of view, the conversion is the most rigorous methods. Since the results can be obtained up to seven transformation parameters, ie three translation parameters, three rotation parameters (Ex, Ey, Ez) and a zoom scale factor (m), therefore, often referred to as seven-parameter method.)
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