Android-Studio

说明：  将girl 图像进行分割，达到2*4的图像分割结果。并使用tight_subplot函数将分割间距变小。(The girl image is segmented to achieve a 2*4 image segmentation result. And use the tight_subplot function to make the division interval smaller.)

C++ code implementing the estimation of errors-in-variables models under point dependent noise. It includes examples for linear, ellipse, fundamental matrix and trifocal tensor estimation. The theory is described in A general method for errors-in-variables problems in computer vision(err)

criminisi图像修复程序 修复破损图(criminisi to repair the image ,that is very good)

说明：  生成差异图，用于变化检测，包含比值法、差值法、均值比算法等(The difference graph is generated for change detection, including ratio method, difference method and mean ratio algorithm)

迭代收缩阈值算法和快速收缩阈值迭代算法求解Lasso问题(Iterative Shrinkage Thresholding Algorithm (ISTA) for LASSO problem)

彩色图像直方图均衡化：把一副彩色图像分成红绿蓝三个通道，对每一个通道先进行均衡化，然后再合并三个通道，得到整幅图像的直方图均衡化。(Color image histogram equalization: put a pair of color image into red, green, blue three channels, to each channel to equalization, then merge three channels, get the whole image histogram equalization.)

正反馈主动频率偏移法，是应用于孤岛检测的一种算法，可以减小检测盲区，加快孤岛检测速度(Positive feedback active frequency offset method is an algorithm used in islanding detection)

用小波包分析实现轴承故障诊断，信号分析处理，界面编程(Bearing fault diagnosis using wavelet packet analysis and signal analysis and processing, interface programming)

传统的图像分割方法可以分为基于阈值、边缘、区域的方法等，而传统的分割方法在复杂图像分割中效果不好。为了提高图像分割的性能，我们提出了一种基于局部自适应窗口的Otsu方法。首先，分析了传统阈值法在复杂图像分割中不能很好地形成的原因，比较了全局阈值和局部阈值对图像分割的影响。其次，提出了根据局部信息自适应地改变局部窗口大小的方法，分析了该方法的特点。最后，证明了所提出的新方法优于其他方法。实验结果表明，与其他传统方法相比，该方法能保持更多的细节，获得更满意的结果。(The traditional image segmentation methods can be divided into thresholding, edge and region methods. The traditional segmentation methods do not perform well in the segmentation of complicated images. In order to improve the performance of image segmentation, we propose an adaptive windowed range-constrained Otsu method based on local information.First, the reason why traditional thresholding methods do not perform well in the segmentation of complicated images is analyzed. Therein, the influences of global and local thresholdings on the image segmentation are compared. Secondly, a method of adaptively changing the local window size based on local information is proposed, and the characteristics of the proposed method are analyzed. Finally, the superiority of the proposed method over other methods, It is validated by the experiments that the proposed method can keep more details and acquire much more satisfying results as compared with the other conventional methods.)

求取相机响应函数，并绘制相对曝光量-灰度曲线(Camera response function, and draw the relative exposure- gray curve )