Combining HSV to get a full image?

Hello,

I duying project, who must detect edges in HSV images.

I have problem whith connect chanels H,S,V to one full image who schows detected edges.

Problem is when I try to show image useing "imshow" function.

I was try use "cat" function, but it's not working -I think.

It work with rgb image, when I use it to HSV image, it's show me errors.

So I don't know, if problem is with "cat" or "imshow" becouse, when I delete "imshow" from code, and when I run the program, the errors not show.

This is code my project:

L=imread('mercek1.jpg');

K=rgb2hsv(L);

h = K(:, :, 1);

s = K(:, :, 2);

v = K(:, :, 3);

A = edge(h, 'canny');

B = edge(s, 'canny');

C = edge(v, 'canny');

D=cat(3, A,B,C);

imshow(D)

Errors:

_Error using imageDisplayValidateParams>validateCData (line 121)
If input is logical (binary), it must be two-dimensional.

Error in imageDisplayValidateParams (line 31)
common_args.CData = validateCData(common_args.CData,image_type);

Error in imageDisplayParseInputs (line 79)
common_args = imageDisplayValidateParams(common_args);

Error in imshow (line 220)
  [common_args,specific_args] = ...

Error in Untitled7dzialajacehsv (line 29)
imshow(D)_

I will be very great full for help.

Sorry for my englisch, he's not perfect, but I hope that it can be understand.

I hope for quick answer.

Answer 1

[Walter Roberson]

imshow(double(D))

Answer 2

[Gieniek]

Great, it's working, very thanks.

Answer 3

[Image Analyst]

D must either be in the range of 0-1 or be uint8.

You might be interested in this:

http://www.mathworks.com/matlabcentral/fileexchange/37197-dem-diffused-expectation-maximisation-for-image-segmentation