|
|
@@ -524,7 +524,7 @@ def get_image_features(data_type, block):
|
|
|
normed_l_img = utils.normalize_2D_arr(l_img)
|
|
|
|
|
|
# bilateral with window of size (3, 3)
|
|
|
- normed_diff = convolution.convolution2D(normed_l_img, kernels.bilateral_diff, (3, 3))
|
|
|
+ normed_diff = convolution.convolution2D(normed_l_img, kernels.min_bilateral_diff, (3, 3))
|
|
|
std_diff = np.std(normed_diff)
|
|
|
mean_diff = np.mean(normed_diff)
|
|
|
|
|
|
@@ -532,7 +532,7 @@ def get_image_features(data_type, block):
|
|
|
diff_mean_list_3.append(mean_diff)
|
|
|
|
|
|
# bilateral with window of size (5, 5)
|
|
|
- normed_diff = convolution.convolution2D(normed_l_img, kernels.bilateral_diff, (5, 5))
|
|
|
+ normed_diff = convolution.convolution2D(normed_l_img, kernels.min_bilateral_diff, (5, 5))
|
|
|
std_diff = np.std(normed_diff)
|
|
|
mean_diff = np.mean(normed_diff)
|
|
|
|
|
|
@@ -665,7 +665,7 @@ def get_image_features(data_type, block):
|
|
|
normed_l_img = utils.normalize_2D_arr(l_img)
|
|
|
|
|
|
# bilateral with window of size (5, 5)
|
|
|
- normed_diff = convolution.convolution2D(normed_l_img, kernels.bilateral_diff, (5, 5))
|
|
|
+ normed_diff = convolution.convolution2D(normed_l_img, kernels.min_bilateral_diff, (5, 5))
|
|
|
|
|
|
# getting sigma vector from SVD compression
|
|
|
s = compression.get_SVD_s(normed_diff)
|
