Allyli0022的专栏

''' bb = np.mean(img[:,:,0]) gg = np.mean(img[:,:,1]) rr = np.mean(img[:,:,2]) for i in range (0, rows): for j in range (0, cols): print (img[i,j,0], img[i,j,1], img[i,j,2]) if img[i,j,0] < bb and img[i,.

DoG(Difference of Gaussian) DoG (Difference of Gaussian)是灰度图像增强和角点检测的方法，其做法较简单，证明较复杂，具体讲解如下: Difference of Gaussian(DOG)是高斯函数的差分。我们已经知道可以通过将图像与高斯函数进行卷积得到一幅图像的低通滤波结果，即去噪过程，这里的Gaussian和高斯低通滤波器的高斯一

These DLLs were created by us, cross-compiled from GNU/Linux using MinGW; the 64-bit version is possible thanks to the mingw-w64 project. You should be able to call them from any compiler. In order

including the following lines after you #include : static void my_fftw_write_char(char c, void *f) { fputc(c, (FILE *) f); } #define fftw_export_wisdom_to_file(f) fftw_export_wisdom(my_fftw_write_cha

%matlab实现cl; img=imread('mask.jpg'); imshow(img); [x,y]=size(img); img_man=zeros(x,y); img_com=zeros(x,y); %% 直方图均衡化算法 Max=max(max(img)); Min=min(min(img)); Hist=zeros(1,256); for i=1:x for j=1:y

用Python实现文档聚类 图像聚类： 参考一 参考二 参考三