OpenCV之图像直方图
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python代码:
import cv2 as cv
import numpy as np
from matplotlib import pyplot as plt
def custom_hist(gray):
h, w = gray.shape
hist = np.zeros([256], dtype=np.int32)
for row in range(h):
for col in range(w):
pv = gray[row, col]
hist[pv] += 1
y_pos = np.arange(0, 256, 1, dtype=np.int32)
plt.bar(y_pos, hist, align=\'center\', color=\'r\', alpha=0.5)
plt.xticks(y_pos, y_pos)
plt.ylabel(\'Frequency\')
plt.title(\'Histogram\')
# plt.plot(hist, color=\'r\')
# plt.xlim([0, 256])
plt.show()
def image_hist(image):
cv.imshow("input", image)
color = (\'blue\', \'green\', \'red\')
for i, color in enumerate(color):
hist = cv.calcHist([image], [i], None, [256], [0, 256])
plt.plot(hist, color=color)
plt.xlim([0, 256])
plt.show()
src = cv.
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