How to change input size of neural network from 3d to 2d?

I have to classify 2d images using googlenet model of Neural Network Toolbox, here the input layer size is 224x224x3 but I need it to classify 224x224x1. How to change the size of input layer and what else would be needed to change after this change in input size?

Answer 1

[Majid Farzaneh]

Hi,

You can use the gray-scale image instead of RGB image. Use this command to make gray-scale from RGB:

Ig=rgb2gray(I)

Where I is your input image.

Also you can use one of layer of image:

R=I(:,:,1);

or

G=I(:,:,2);

or

B=I(:,:,3);

[Jahandad Baloch]

Thank you very much Majid and Walter. The problem is, I already have gray-scale 2D images but googlenet model by Neural Network Toolbox accepts data in 3D. Should I introduce third dimension by converting gray-scale to RGB? Wouldn't this extra dimension reduce the performance of algorithm?