Question

我从用户那里拍摄图像，并使用标签显示它。现在我必须使用该图像进行进一步处理。我的代码是：

from Tkinter import Tk, Frame, BOTH
from Tkinter import *
import cv2
from collections import *
from experiment import *
from scipy.spatial import distance
import Tkinter,tkFileDialog
from PIL import Image, ImageTk
class Example(Frame):
   def __init__(self, parent):
       Frame.__init__(self, parent)            
       self.parent = parent        
       self.initUI()
   def initUI(self):
       self.parent.title("PISE")
       self.pack(fill=BOTH, expand=1)
def query():
    path=tkFileDialog.askopenfilename(filetypes=[("Image File",'.jpg')])
    im = Image.open(path)
    tkimage = ImageTk.PhotoImage(im)
    myvar=Label(root,image = tkimage)
    myvar.image = tkimage
    myvar.pack()
    myvar.place(x = 850, y = 5)
    custName.set(path)
    cont_list1 = list()
    ene_list1 = list()
    homo_list1 = list()
    cor_list1 = list()
    B_mean1 = list()
    G_mean1 = list()
    R_mean1 = list()
    graylist1 = list()
    resizelist1 = list()
    eq_graylist1 = list()
    dis_list1 = list()
    imge = cv2.imread(tkimage)
    arr = array(imge)
    g_img = cv2.imread(tkimage,0)
    gray_re_img = cv2.resize(g_img,(256,256))
    graylist1.append(gray_re_img)
    equ = cv2.equalizeHist(gray_re_img)
    eq_graylist1.append(equ)
    re_img = cv2.resize(imge,(256,256))
    resizelist1.append(re_img)
    blue, green, red = cv2.split(re_img)
    total = re_img.size
    B = sum(blue) / total
    G = sum(green) / total
    R = sum(red) / total
    B_mean1.append(B)
    G_mean1.append(G)
    R_mean1.append(R)
    im = skimage.io.imread(tkimage, as_grey=True)
    im = skimage.img_as_ubyte(im)
    im /= 32
    g = skimage.feature.greycomatrix(im, [1], [0], levels=8, symmetric=False, normed=True)
    cont = skimage.feature.greycoprops(g, 'contrast')[0][0]
    cont_list1.append(cont)
    ene = skimage.feature.greycoprops(g, 'energy')[0][0]
    ene_list1.append(ene)
    homo = skimage.feature.greycoprops(g, 'homogeneity')[0][0]
    homo_list1.append(homo)
    cor = skimage.feature.greycoprops(g, 'correlation')[0][0]
    cor_list1.append(cor)
    dis = skimage.feature.greycoprops(g, 'dissimilarity')[0][0]
    dis_list1.append(dis)
    feature_matrix_ip = zip( B_mean1 , G_mean1 , R_mean1, cont_list1 , ene_list1 , homo_list1 , cor_list1 , dis_list1)
root = Tk()
root.geometry("1105x605+300+300")
app = Example(root)
custName = StringVar(None)
yourName = Entry(app, textvariable=custName)
yourName.focus_set()
yourName.pack(padx = 20, pady = 20,anchor='n')
yourName.place(y = 25, x = 100, width = 500, height = 25)
button1 = Button(app, text='Select the Query Image',command = query)
button1.pack(padx = 2, pady = 2,anchor='ne')
button1.place( x = 550, y = 25)
root.mainloop()

但它给我一个错误，如：

imge = cv2.imread(tkimage)
TypeError: expected string or Unicode object, instance found

如何克服这个错误？

感谢您的支持！

Answer 1

您正在给cv2.imread一个PhotoImage实例，但它需要一个文件名。改为path。

imge = cv2.imread(path)

如何从标签上读取图像以便进一步处理 - tkinter，python

1 个答案: