类型为"double"的输入参数和属性为"full 3d real"的未定义函数"conv2". -Matlab

问题描述

我正在尝试在空间域中过滤图像，所以我正在使用conv2函数.

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

这是我的代码.

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);

我得到了错误:

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);

现在我想知道，我不能使用3通道图像，即彩色图像吗?

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

推荐答案

彩色图像是3维数组(x，y，color). conv2仅针对2维定义，因此它不能直接在3维数组上工作.

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.

三个选项:

• 使用n维卷积convn()

使用rgb2gray()转换为灰度图像，然后以2D过滤:

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

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

分别以2D过滤每种颜色(RGB):

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

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