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# import the necessary packages
import decimal
import imutils
import cv2
import numpy as np
import matplotlib.pyplot as plt
# load the image, convert it to grayscale, and blur it slightly
image = cv2.imread("hand.jpg",0)
# threshold the image, then perform a series of erosions +
# dilations to remove any small regions of noise
thresh = cv2.threshold(image, 45, 255, cv2.THRESH_BINARY)[1]
thresh = cv2.erode(thresh, None, iterations=2)
thresh = cv2.dilate(thresh, None, iterations=2)
# find contours in thresholded image, then grab the largest one
cnts = cv2.findContours(thresh.copy(), cv2.RETR_EXTERNAL,
cv2.CHAIN_APPROX_SIMPLE)
cnts = cnts[0] if imutils.is_cv2() else cnts[1]
c = max(cnts, key=cv2.contourArea)
size = len(c);
refer_point = (207,130)
data = np.genfromtxt("data.txt", delimiter=',')
X = data[:,][:,0]
Y = data[:,][:,1]
for i in range(0,size):
dist1= (((abs(207-X))**2)+((abs(130-Y))**2))**(1.0/2.0)
dist3 = round(dist1,2)
print dist3
plt.plot([dist3])
plt.show()
我正在研究上述代码。代码执行完美,但图像的轮廓点完全错误。绘制图后我观察到了这个错误。在这个问题上帮助我。查找图像的轮廓Python OpenCV
什么是此代码段的输入图像和输出? – ZdaR
他们是图像,我不能在评论栏中添加任何图像。 –
然后上传它们并在这里提供链接 – ZdaR