Descr iption 　　



All the filters have needed neighbor data the current pixel in the image,here this function(res_window=cover_window(how many neighbor value for row ,how many neighbor value for column ,input image) produce the result( res_window(row,col,total size))



input

inp_img=2d data(row * col)

w=cover size

w=[3 3] = 3x3 cover pixel generation

output

o_img=result 3d

o_img(w(1),w(2),r*col)

if

inp_img=[1 2 3 4 5 6 ]

w=[3 3]

Soloution

it will construct new image

new_img=[0 0 0 0 0 0 1 2 3 0 0 4 5 6 0 0 0 0 0 0]

result

o_img(:,:,1)=[0 0 0 0 1 2 0 4 5]

o_img(:,:,2)=[0 0 0 1 2 3 4 5 6]

finally

o_img(1:3,1:3,6)

example

a=imread( pears.png )

b=rgb2gray(a)

c=cover_window( b,[3 3]) 3x3 window construction

-Descr iption 　　



All the filters have needed neighbor data　the current pixel in the image,here this function(res_window=cover_window(how many neighbor value for row ,how many neighbor value for column ,input image) produce the result( res_window(row,col,total size))

　

input

inp_img=2d data(row * col)

w=cover size

w=[3 3] = 3x3 cover pixel generation

output

o_img=result 3d

o_img(w(1),w(2),r*col)

　if

　inp_img=[1 2 3　4 5 6 ]

　w=[3 3]

　Soloution

　it will construct new image

　new_img=[0 0 0 0 0 0 1 2 3 0 0 4 5 6 0 0 0 0 0 0]

　result

　o_img(:,:,1)=[0 0 0 0 1 2 0 4 5]

　o_img(:,:,2)=[0 0 0 1 2 3 4 5 6]

finally

　o_img(1:3,1:3,6)

　example

a=imread( pears.png )

b=rgb2gray(a)

c=cover_window( b,[3 3])　　3x3 window construction