Evidence-Based Complementary and Alternative Medicine / 2017 / Article / Alg 1

Research Article

Tongue Images Classification Based on Constrained High Dispersal Network

Algorithm 1

Tongue images classification based on CHDNet.
Input: Tongue images with labels . where
.
Output: Predict labels of testing images.
Partition the whole dataset into training set and testing set.
  if training set then
 Compute patch mean removal of .
for to stage  do
  Compute convolutional kernels at stage .
  Compute convolutional feature map using (2).
  Compute non-linear transformation feature map
     using (3).
  Compute the convolutional kernels at stage .
  if ==stage then
   for each convolutional filter do
    Compute the multi-scale feature maps using (9).
    Apply high dispersal operation by (10).
    Execute local response normalization by (11).
    Compute the feature map at stage according
         to (12).
   end for
    end if
end for
 Extract feature representations for by (6).
  else
(20)  for to stage do
    Compute the feature map at stage using the learned
      kernels, which is similar to Steps .
end for
 Extract multiscale features , which is similar to
     Step .
  end if
  for validation = 1 to do
 Train classifier:
      .
 Predict labels for test images:
      
  end for

Article of the Year Award: Outstanding research contributions of 2020, as selected by our Chief Editors. Read the winning articles.