improved_sigma_filtering

信息检索和自然语言处理中经常会使用这些参数:准确率（Precision）、召回率（Recall）以及综合评价指标（F1-Measure ） (These parameters are often used in information retri and natural language processing (Precision), recall rate (Recall), and comprehensive uation index (F1-Measure). )

对灰度和真彩色位图实现了多种边缘提取算法(Of gray-scale and true color bitmaps to achieve a variety of edge detection algorithm)

对图形的旋转 有不错的效果 可以试试 让图形从左到右(Rotation pattern has a good effect can try)

立体图像左右视点融合，将左右图像利用LogGabor融合成一幅图像。(Stereo image fusion, the left and right image are fused into an image using LogGabor.)

说明：  小波模极大源代码，可用来进行小波降噪或小波模态参数识别(Wavelet modal maximum source code, can be used for wavelet noise reduction or wavelet modal parameter identification)

傅里叶时域频域变换图形处理S参数在时域的应用(Fourier time domain frequency domain transform graphics processing S-parameters in the application of the time-domain)

Invensense公司的modm实例代码example。 初始化以及IIC的引用示例。(The example of modm from Invensense. IIC initiation and configuration initiation.)

水平集(level set)的基本思想是将界面看成高一维空间中某一函数ψ（称为水平集函数）的零水平集，同时界面的演化也扩充到高一维的空间中。我们将水平集函数按照它所满足的发展方程进行演化或迭代，由于水平集函数不断进行演化，所以对应的零水平集也在不断变化，当水平集演化趋于平稳时，演化停止，得到界面形状。(The level set (level set) the basic idea is to interface as a higher dimensional space in a function (called a level set function) of the zero level set, and the interface evolution also extended to higher dimensional space. We evolve or iterate the level set function according to the evolution equation it satisfies. Because the level set function keeps evolving, so the corresponding zero level set is also changing. When the level set evolves to a stable state, the evolution stops, and the interface shape is obtained.)

提取二值图像中的所有非零点坐标，进行矩阵标准化，最后进行二次曲线拟合(Extracting the binary image of all non-zero coordinates, matrix standardized last quadratic curve fitting)

说明：  一种很好的基于改进的椭圆检测算法值得一看要(A good improvement on the ellipse detection algorithm to see)