use of conditional statement

I have a normalized image of size 160*190.i have to decompose it to low,middle and high inetnsity.the low bound is 0.4 and high bound is 0.7.which conditional statement can give the correct ans.

Answer 1

[Jos (10584)]

Here is an example to obtain low intensities. It is often handy to keep the original format and set the elements you are not interested in to NaN or some other arbitrary value.

AllImage = rand(6,5) % smaller example
tf = AllImage < 0.4
lowImage = nan(size(AllImage)) 
lowImage(tf) = AllImage(tf)
ValuesOnly = AllImage(tf)

[Sapam Jaya]

Here d values are in columns..i need to get as matrix so as display it.

Answer 2

[David Sanchez]

if (x<0.4)

...do anything

elseif (x>=0.4 | x<=0.7)

...do another thing

else  % this is for x>0.7

...whatever

end

[Sapam Jaya]

i have to group to low,high,middle respectively.i have tried with this but i m not getting d ans

[Walter Roberson]

Are you looking at the intensity of each pixel? Or are you looking for an overall intensity?

[Sapam Jaya]

At d intensity of each pixel

[Sapam Jaya]

Using if else returns a logical matrix.i want to get d intensity values