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import numpy as np
import cv2
def pil_cv2_image_converter(image):
numpy_image = np.array(image)
# Convert to an OpenCV image; notice the COLOR_RGB2BGR flag, which means
# that the color is converted from RGB to BGR format.
opencv_image = cv2.cvtColor(numpy_image, cv2.COLOR_RGB2BGR)
return opencv_image
def chi2_distance(histA, histB, eps = 1e-10):
# compute the chi-squared distance
d = 0.5 * np.sum([((a - b) ** 2) / (a + b + eps)
for (a, b) in zip(histA, histB)])
# return the chi-squared distance
return d
def euclidean_distance(x, y):
# compute the Euclidean distance
d = np.sqrt(np.sum((x - y) ** 2))
# return the Euclidean distance
return d
def merge_features(feature1, feature2):
"""
Combine two feature vectors of color descriptors and LBP.
Parameters:
color_features (list): List of color descriptor features.
lbp_features (list): List of LBP features.
Returns:
list: Concatenated feature vector.
"""
combined_features = feature1 + feature2
return combined_features
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