我有一个代码可以在图像中绘制对象的轮廓，然后在它们周围绘制一个矩形。我需要找到形状中最宽的直径(两点)女巫是水平直线现在我需要找到对象边界内的点(像素坐标)。
这是我的代码:
class App:
def __init__(self, window, window_title, image_path="ex.jpg"):
self.window = window
self.window.title(window_title)
# Load an image using OpenCV
self.cv_img = cv2.cvtColor(cv2.imread(image_path), cv2.COLOR_BGR2RGB)
# Get the image dimensions (OpenCV stores image data as NumPy ndarray)
self.height, self.width, no_channels = self.cv_img.shape
# Create a canvas that can fit the above image
self.canvas = tkinter.Canvas(window, width = self.width, height = self.height)
self.canvas.pack()
# Use PIL (Pillow) to convert the NumPy ndarray to a PhotoImage
self.photo = PIL.ImageTk.PhotoImage(image = PIL.Image.fromarray(self.cv_img))
# Add a PhotoImage to the Canvas
self.canvas.create_image(0, 0, image=self.photo, anchor=tkinter.NW)
# Button that lets the user blur the image
self.btn_blur=tkinter.Button(window, text="Blur", width=25, command=self.blur_image)
self.btn_blur.pack(anchor=tkinter.CENTER, expand=True)
# Button that lets the user edeged the image
self.btn_blur=tkinter.Button(window, text="edged", width=25, command=self.edged_image)
self.btn_blur.pack(anchor=tkinter.CENTER, expand=True)
# Button that lets the user edeged the image
self.btn_blur=tkinter.Button(window, text="draw box", width=25, command=self.draw_box)
self.btn_blur.pack(anchor=tkinter.CENTER, expand=True)
self.window.mainloop()
# Callback for the "Blur" button
def blur_image(self):
self.cv_img = cv2.blur(self.cv_img, (3, 3))
self.photo = PIL.ImageTk.PhotoImage(image = PIL.Image.fromarray(self.cv_img))
self.canvas.create_image(0, 0, image=self.photo, anchor=tkinter.NW)
# Callback for the "edged" button
def edged_image(self):
#edeged image
self.cv_img=cv2.Canny(self.cv_img,50,180)
self.cv_img = cv2.dilate(self.cv_img, None, iterations=1)
self.cv_img = cv2.erode(self.cv_img, None, iterations=1)
self.photo = PIL.ImageTk.PhotoImage(image = PIL.Image.fromarray(self.cv_img))
self.canvas.create_image(0, 0, image=self.photo, anchor=tkinter.NW)
# Callback for the "draw contours" button
def draw_box(self):
#draw contour
cnts = cv2.findContours(self.cv_img.copy(), cv2.RETR_EXTERNAL,cv2.CHAIN_APPROX_SIMPLE)
cnts = cnts[0] if imutils.is_cv2() else cnts[1]
#draw box
for c in cnts:
self.cv_img = cv2.drawContours(self.cv_img, [c], 0, (0,255,0), 3)
x,y,w,h = cv2.boundingRect(c)
self.cv_img = cv2.rectangle(self.cv_img,(x,y),(x+w,y+h),(0,255,0),2)
#Create a window and pass it to the Application object
App(tkinter.Tk(), "morteza app")
请您参考如下方法:
您可以尝试找到极值点(在您的情况下为左、右和上)。然后，您可以使用计算两点之间距离的公式 d=sqrt((x2-x1)^2 + (y2-y1)^2) 来计算从极左到极右的距离。如果您愿意，您甚至可以使用相同的原理找到线的中心并计算线的中心与最高点之间的距离。这是一个示例代码:
import numpy as np
import cv2
import imutils
img = cv2.imread('bulb.png')
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
ret, thresh = cv2.threshold(gray, 240, 255, cv2.THRESH_BINARY)
cv2.bitwise_not(thresh, thresh)
cnts = cv2.findContours(thresh, cv2.RETR_EXTERNAL,
cv2.CHAIN_APPROX_SIMPLE)
cnts = cnts[0]
c = max(cnts, key=cv2.contourArea)
left = tuple(c[c[:, :, 0].argmin()][0])
right = tuple(c[c[:, :, 0].argmax()][0])
distance = np.sqrt( (right[0] - left[0])**2 + (right[1] - left[1])**2 )
x,y,w,h = cv2.boundingRect(c)
centx = np.sqrt( ((right[0] + left[0])**2)/4)
centy = np.sqrt( ((right[1] + left[1])**2)/4 )
print(centx, centy)
font = cv2.FONT_HERSHEY_SIMPLEX
cv2.circle(img, left, 5, (0, 0, 255), -1)
cv2.circle(img, right, 5, (0, 0, 255), -1)
cv2.circle(img, (int(centx), int(centy)), 5, (0, 0, 255), -1)
cv2.line(img, left, right, (255,0,0), 2)
cv2.drawContours(img, [c], -1, (0,255,0), 2)
cv2.rectangle(img,(x,y),(x+w,y+h),(0,255,0),2)
cv2.putText(img,'Distance: '+str(distance),(10,30), font, 1, (0,0,0),2, cv2.LINE_AA)
cv2.imshow('img', img)
cv2.imwrite('bulbresult.png', img)
结果:
