Undefined function 'conv2' for input arguments of type 'double' and attributes 'full 3d real'. - Matlab

Question

I'm trying to filter an image in the space domain so i'm using the conv2 function.

here's my code.

cd /home/samuelpedro/Desktop/APIProject/

close all
clear all
clc

img = imread('coimbra_aerea.jpg');
%figure, imshow(img);

size_img = size(img);

gauss = fspecial('gaussian', [size_img(1) size_img(2)], 50);

%figure, surf(gauss), shading interp

img_double = im2double(img);

filter_g = conv2(gauss,img_double);

I got the error:

Undefined function 'conv2' for input arguments of type 'double' and attributes 'full 3d
real'.

Error in test (line 18)
filter_g = conv2(gauss,img_double);

now i'm wondering, can't I use a 3 channel image, meaning color image.

Answer 1

Color images are 3 dimensional arrays (x,y,color). conv2 is only defined for 2-dimensions, so it won't work directly on a 3-dimensional array.

Three options:

• Use an n-dimensional convolution, convn()

• Convert to a grayscale image using rgb2gray() , and filter in 2D:

  filter_g = conv2(gauss,rgb2gray(img_double));

• Filter each color (RGB) separately in 2D:

   filter_g = zeros(size(im_double)); for i = 1:3 filter_g(:,:,i) = conv2(gauss, im_double(:,:,i); end 

Answer 2

对于nD输入，您需要使用convn 。

Answer 3

If you have R2015a or newer, the IPT function imgaussfilt handles multi-plane 2-d convolution problems like this, just pass in your RGB image.

http://www.mathworks.com/help/images/ref/imgaussfilt.html

If you don't, imfilter also performs multiplane 2-d convolution.

Both will be faster for a Gaussian filter, they both know how to do the separable trick for you.