computer_vision_calibr

在计算机视觉领域一种非盲去模糊的方法代码(A non-blind deblurring method code in the field of computer vision)

matlab实现粒子滤波算法,对图像处理,定位,跟踪研究都有借鉴作用!(Matlab achieve particle filter for image processing, positioning and tracking studies have reference!)

用matlab实现的欧拉影像放大应用程序。(Euler image magnification application realized by matlab.)

说明：  可以对光谱数据进行预处理，除了偏最小二乘法之外，也有一些其他方法(Besides the partial least square method, there are also some other methods)

基于NSCT与HSI的图像融合算法，采用非下采样的Contourlet变换和HSI彩色图像融合。(image fusion algorithms based on NSCT and HSI)

基于曲波变换，小波变换的图像融合，图像检测的相关文献，有期刊，也有硕士论文，中文英文都有，都是近几年的文章，供大家参考学习(Based on curvelet transform, wavelet transform image fusion, image detection literature, there are journals, but also master' s thesis, Chinese, English has, in recent years are the article, for your reference learning)

多分辨率灰度和旋转不变纹理分类与定位二进制模式(multiresolution gray scale and rotation invariant texture classification with location binary patterns )

说明：  (1)利用matlab函数进行噪声模拟，并用matlab自带函数进行图像滤波。 (2)利用给定图像自己编程实现使用均值滤波器、中值滤波器对不同强度的高斯噪声和椒盐噪声，进行滤波处理，并对结果进行评价分析，并解释结果。 (3)自己编程实现laplacian算子图像的处理，实现图像增强；编程实现sobel算子对图像边缘提取。将结果与matlab自带函数计算结果比较。 (4)利用模糊处理对图的灰度值进行改变实现灰度增强，并与直方图均衡结果比较((1) Matlab function is used to simulate noise, and Matlab function is used to filter image. (2) Using the given image, we use the mean filter and median filter to filter the Gaussian noise and salt and pepper noise with different intensities, evaluate and analyze the results, and interpret the results. (3) The image processing of Laplacian operator and image enhancement are realized by programming Sobel operator is used to extract image edge. The results are compared with those of MATLAB. (4) Fuzzy processing is used to change the gray value of the image to achieve gray enhancement and balance with histogram)

自动检测遥感影像上的阴影区域，并将阴影区域去掉。(Automatically detect the shadow area on the remote sensing image and remove the shadow area.)

用Visual C++实现基于数学形态学的数字图像处理,包括二值图像的腐蚀,膨胀,开,闭,细化及中轴变换等运算.(Visual C++ using mathematical morphology-based digital image processing, including binary image erosion and dilation, opening, closing, thinning, and the central axis transform operations.)