fanbird2008的专栏

A = [ 0 0 0 0 0 0 0 0;0 0 0 0 0 0 0 0;0 0 0 1 1 0 0 0;0 0 0 1 1 0 0 0;0 0 0 1 1 0 0 0;0 0 0 1 1 0 0 0;0 0 0 0 0 0 0 0;0 0 0 0 0 0 0 0];k=[1/9 1/9 1/9;1/9 1/9 1/9;1/9 1/9 1/9];

http://blog.youkuaiyun.com/xiahouzuoxin/article/details/39582483转载请注明出处：http://xiahouzuoxin.github.io/notesKalman滤波器的历史渊源We are like dwarfs on the shoulders of giants, by whose grace we see

A=imread('d:\Pict\tiff\spine.tif');se = strel('square', 5);B=imerode(A, se);C=imdilate(A, se);figure(1), imshow(B), title('Erode');figure(2), imshow(C), title('Dilate');

Notes: The image format can't be jpg...I=imread('d:\Pict\tiff\spine.tif');J=imnoise(I, 'salt & pepper', 0.02);figure(1), imshow(I);figure(2), imshow(J);K=medfilt2(J);figure(3), ims

I=imread('d:\t1.jpg');J=imnoise(I, 'salt & pepper', 0.02);figure(1), imshow(I);figure(2), imshow(J);h=fspecial('gaussian', [3 3], 0.5);L=imfilter(J, h);figure(3), imshow(L);k=[1 1 1;1

A = [ 0 0 0 0 0 0 0 0;0 0 0 0 0 0 0 0;0 0 0 1 1 0 0 0;0 0 0 1 1 0 0 0;0 0 0 1 1 0 0 0;0 0 0 1 1 0 0 0;0 0 0 0 0 0 0 0;0 0 0 0 0 0 0 0];figure(1), imshow(A);figure(2), mesh(A);B = f

A='d:\t1.jpg';B=imread(A, 'jpg');C=rgb2gray(B);imhist(C)imhist(C, 256)imhist(C)D=imadjust(C, [0 1], [0 1]);imshow(D);E=histeq(C);imshow(E);F=graythresh(C);G=im2bw(C,F);imshow(G

https://en.wikipedia.org/wiki/Kalman_filterUnderlying dynamic system model[edit]This section requires expansion. (August 2011)The Kalman filters are based on linear dynamic