用 OpenCV 读取图像并用 Tkinter 显示

Question

I have a very simple program on Ubuntu 14.04 LTS to read and display an image using OpenCV:

import cv2 #import OpenCV

img = cv2.imread('picture.jpg') #read a picture using OpenCV
cv2.imshow('image',img) # Display the picture
cv2.waitKey(0) # wait for closing
cv2.destroyAllWindows() # Ok, destroy the window

My problem:

How can I keep reading the picture in OpenCV but display it using Tkinter ?

I ask this because I want to make an interface for my program but OpenCV is not able to do it so I need Tkinter for this. However, all the image processing I must do it on the background using OpenCV. Only displaying the results must be done using Tkinter.

EDIT:

From the answer above, I change the line:

im = Image.open('slice001.hrs').convert2byte()

To:

im=cv2.imread() # (I imported cv2) 

But I got an error.

I would appreciate any hints.

Answer 1

You might want to take a look at this one . Here is something works for me:

import numpy as np
import cv2
import Tkinter 
import Image, ImageTk

# Load an color image
img = cv2.imread('img.png')

#Rearrang the color channel
b,g,r = cv2.split(img)
img = cv2.merge((r,g,b))

# A root window for displaying objects
root = Tkinter.Tk()  

# Convert the Image object into a TkPhoto object
im = Image.fromarray(img)
imgtk = ImageTk.PhotoImage(image=im) 

# Put it in the display window
Tkinter.Label(root, image=imgtk).pack() 

root.mainloop() # Start the GUI

Answer 2

For Python3 I had to modify @Ha Dang answer:

from tkinter import *
from PIL import Image, ImageTk
import cv2
import numpy as np

image_name = 'bla.jpg'

image = cv2.imread(image_name)

#Rearrang the color channel
b,g,r = cv2.split(image)
img = cv2.merge((r,g,b))

# A root window for displaying objects
root = Tk()  

# Convert the Image object into a TkPhoto object
im = Image.fromarray(img)
imgtk = ImageTk.PhotoImage(image=im) 

# Put it in the display window
Label(root, image=imgtk).pack() 

root.mainloop() # Start the GUI

Requirements were:

pip3

numpy==1.13.1
opencv-python==3.3.0.9
Pillow==4.2.1

brew

python3
tcl-tk

Answer 3

For me both answers above did not work but where close. The following code did the trick for me (I also want to use place instead of pack):

    image = cv2.cvtColor(self.image, cv2.COLOR_BGR2RGB)
    image = ImageTk.PhotoImage(image=Image.fromarray(image))
    label_image = Label(self.detection, image=image)
    label_image.image = image
    label_image.place(x=0, y=0, anchor="w")