NJW

泊松融合在某种意义上解决了图像融合的问题，但其在融合的过程中仅仅考虑了融入图像的梯度，而没有利用背景图像的梯度，因此，在使用泊松融合的过程中，需要对融入区域的标记较为准确，否则，会造成背景纹理的丢失，视觉上可以明显觉察图像融入的痕迹。因此，对公式稍作修改，在考虑前景的同时考虑背景的变化，可以得到更优的结果。(Poisson convergence in a sense solved the problem of image fusion, but it only considers the integration of image gradient in the integration process, but not the use of a background image gradient, therefore, the use of the Poisson integration process, the need for more accurate marker into the area, otherwise, it will result in the loss of background texture, image integration can clearly perceive the visual traces. Therefore, the formula slightly modified, in considering the prospect of taking into account the changes in the background, you can get better results.)

计算激光谐振腔内的模式以及非稳腔的相关仿真(Calculation of the mode of laser resonant cavity and the correlation simulation of unstable cavity)

利用已知的平坦道路的视差图，得出uv方向的直方图，并且求出直线(The histogram of the UV direction and the straight line are obtained by using the disparity map of the known flat road.)

MATLAB实现图像的傅里叶变换，包括一维傅里叶变换，二维傅里叶变换(MATLAB Fourier transform of image, including the one-dimensional Fourier transform, two-dimensional Fourier transform)

图形处理的部分，能进行图像的中值过滤处理(To the median filter for image processing)

Contrast Stretching in Matlab

c# bmp图片转换成 wmf格式 实例

可逆数字水印算法 Article (2009-Sachnev-IEEE_J_CASVT-989) Sachnev, V. Kim, H. J. Nam, J. Suresh, S. & Shi, Y. Q. Reversible Watermarking Algorithm Using Sorting and Prediction #IEEE_J_CASVT#, (Reversible watermarking Article (2009-Sachnev-IEEE_J_CASVT-989) Sachnev, V. Kim, H. J. Nam, J. Suresh, S. & Shi, Y. Q. Reversible Watermarking Algorithm Using Sorting and Prediction#IEEE_J_CASVT#, 2009, 19, 989-999 )

根据D. Comaniciu, P. Meer: Mean Shift: A robust approach toward feature space analysis 以及 C. Christoudias, B. Georgescu, P. Meer: Synergism in low level vision.这两篇文献提供的方法编写的图像分割代码，作者是 Chris M. Christoudias, Bogdan Georgescu，代码经我看了后加了丰富的中文注释，希望可以给各位带来阅读上的方便。 基于meanshift的聚类分割方法包括滤波、区域融合等操作，通过调整sigma和sigmar来调整分割效果。(According to D. Comaniciu, P. Meer: Mean Shift: A robust approach toward feature space analysis, and C. Christoudias, B. Georgescu, P. Meer: Synergism in low level vision. These two documents prepared by the methods provided by image segmentation code , the author is Chris M. Christoudias, Bogdan Georgescu, after I read the code, add a rich Chinese notes, hoping to bring you the convenience of reading. Segmentation method based on clustering meanshift including filtering, regional integration and other operations, and by adjusting the sigma sigmar to adjust segmentation results.)

这个代码是基于论文“Saliency Detection via Graph-Based Manifold Ranking”下的程序源码，作者是Chuan Yang, Lihe Zhang, Huchuan Lu, Ming-Hsuan Yang, and Xiang Ruan 功能1：使用canny算子计算图像的二值边缘图 (The code is for paper "Saliency Detection via Graph-Based Manifold Ranking" by Chuan Yang, Lihe Zhang, Huchuan Lu, Ming-Hsuan Yang, and Xiang Ruan Procedures: 1. compute a binary edge map of the image using the canny method. )