def LBP_hist_216(image, image_channel):
R = 2
P = 16
if image_channel == 1:
feature = local_binary_pattern.calc_LBP_hist(image, P, R)
elif image_channel == 3:
b, g, r = cv2.split(image)
b_feature = local_binary_pattern.calc_LBP_hist(b, P, R)
g_feature = local_binary_pattern.calc_LBP_hist(g, P, R)
r_feature = local_binary_pattern.calc_LBP_hist(r, P, R)
feature = b_feature
feature = np.append(feature, g_feature)
feature = np.append(feature, r_feature)
return feature
def LBP_hist_216_YCbCr(image):
'''
YCbCr color texture
:param image: color image
:return:
'''
R = 2
P = 16
YCbCr_image = cv2.cvtColor(image, cv2.COLOR_BGR2YCrCb)
Y, Cb, Cr = cv2.split(YCbCr_image)
Y_feature = local_binary_pattern.calc_LBP_hist(Y, P, R)
Cb_feature = local_binary_pattern.calc_LBP_hist(Cb, P, R)
Cr_feature = local_binary_pattern.calc_LBP_hist(Cr, P, R)
feature = Y_feature
feature = np.append(feature, Cb_feature)
feature = np.append(feature, Cr_feature)
return feature
def LBP_hist_216_HSL(image):
'''
HSL color texture
:param image: color image
:return:
'''
R = 2
P = 16
HSL_image = cv2.cvtColor(image, cv2.COLOR_BGR2HLS)
H, S, L = cv2.split(HSL_image)
H_feature = local_binary_pattern.calc_LBP_hist(H, P, R)
S_feature = local_binary_pattern.calc_LBP_hist(S, P, R)
L_feature = local_binary_pattern.calc_LBP_hist(L, P, R)
feature = H_feature
feature = np.append(feature, S_feature)
feature = np.append(feature, L_feature)
return feature
def LBP_hist_multi_resolution(image):
feature = []
P = 8
R = 1
feature81 = local_binary_pattern.calc_LBP_hist(image, P, R)
feature.extend(feature81)
P = 16
R = 2
feature216 = local_binary_pattern.calc_LBP_hist(image, P, R)
feature.extend(feature216)
P = 24
R = 3
feature324 = local_binary_pattern.calc_LBP_hist(image, P, R)
feature.extend(feature324)
feature = np.float32(feature)
return feature
def LBP_hist_216_YCbCr_HSV(image):
'''
YCrCb_HSV color texture
:param image: color image
:return:
'''
R = 2
P = 16
YCrCb_image = cv2.cvtColor(image, cv2.COLOR_BGR2YCrCb)
Y, Cr, Cb = cv2.split(YCrCb_image)
Y_feature = local_binary_pattern.calc_LBP_hist(Y, P, R)
Cr_feature = local_binary_pattern.calc_LBP_hist(Cr, P, R)
Cb_feature = local_binary_pattern.calc_LBP_hist(Cb, P, R)
feature = Y_feature
feature = np.append(feature, Cr_feature)
feature = np.append(feature, Cb_feature)
HSV_image = cv2.cvtColor(image, cv2.COLOR_BGR2HSV)
H, S, V = cv2.split(HSV_image)
H_feature = local_binary_pattern.calc_LBP_hist(H, P, R)
S_feature = local_binary_pattern.calc_LBP_hist(S, P, R)
V_feature = local_binary_pattern.calc_LBP_hist(V, P, R)
feature = np.append(feature, H_feature)
feature = np.append(feature, S_feature)
feature = np.append(feature, V_feature)
return feature
def LBP_hist_324(image):
R = 3
P = 24
feature = local_binary_pattern.calc_LBP_hist(image, P, R)
return feature
