Python Tkinter。来自数据点的最佳拟合椭圆

Question

我正在使用Python GUI w/Tkinter。我试图将BMP图像中的四个指定点位置保存为变量，并创建一个最适合的椭圆，或多或少地通过保存的点。我仍然是一名初学者，工作着W/Tkinter和GUI，所以请耐心等待！

到目前为止，代码可以标记点并打印出其位置/坐标。我应该在这种情况下使用matplotlib吗？我能够使用那个w/tkinter吗？

这里是我的代码：

from tkinter import * 
from PIL import Image, ImageTk 

class Window(Frame): 

    def __init__(self, master=None): 
     Frame.__init__(self, master) 

     self.master = master 
     self.pos = [] 
     self.master.title("GUI") 
     self.pack(fill=BOTH, expand=1) 

     self.counter = 0 

     menu = Menu(self.master) 
     self.master.config(menu=menu) 

     file = Menu(menu) 
     file.add_command(label="Exit", command=self.client_exit) 
     menu.add_cascade(label="File", menu=file) 
     analyze = Menu(menu) 

     analyze.add_command(label="Region of 
     Interest",command=self.regionOfInterest) 
     analyze.add_command(label="Erase", command=self.erasePoints) 

     menu.add_cascade(label="Analyze", menu=analyze) 
     load = Image.open("ap41.ddr.brf.sdat.bmp") 
     render = ImageTk.PhotoImage(load) 

     img = Label(self, image=render) 
     img.image = render 
     img.place(x=0, y=0) 

    def regionOfInterest(self): 
     root.config(cursor="plus") 
     canvas.bind("<Button-1>", self.imgClick) 

    def erasePoints(self): 
     self.pos = [] 

    def client_exit(self): 
     exit() 

    def imgClick(self, event): 

     if self.counter < 4: 
      x = canvas.canvasx(event.x) 
      y = canvas.canvasy(event.y) 
      self.pos.append((x, y)) 
      print(self.pos) 
      canvas.create_line(x - 5, y, x + 5, y, fill="red", 
tags="crosshair") 
      canvas.create_line(x, y - 5, x, y + 5, fill="red", 
tags="crosshair") 
      self.counter += 1 
     else: 
      canvas.unbind("<Button 1>") 
      root.config(cursor="arrow") 
      self.counter = 0 


root = Tk() 
imgSize = Image.open("ap41.ddr.brf.sdat.bmp") 
tkimage = ImageTk.PhotoImage(imgSize) 
w, h = imgSize.size 

canvas = Canvas(root, width=w, height=h) 
canvas.create_image((w/2,h/2),image=tkimage) 
canvas.pack() 

root.geometry("%dx%d"%(w,h)) 
app = Window(root) 
root.mainloop() 

Answer 1

这里是你可以用和微调玩，但我认为这将是接近你正在尝试做的。

首先，我创建了另一个标记为Create Ellipse的菜单项，它链接到计算左上角帘线和右下角帘线的方法，然后将其与create_ovel()命令配合使用以在屏幕上创建椭圆。让我知道这是否接近你想要做的事情。

下面的新方法会将每个元组的值与基元组进行比较，如果数值较低，它将更改左上角的连线，如果数字较高，则会更改右下角的连线。用这两组绳索计算出来后，它将创建一个椭圆，以便粗略地适合你所选择的。

def createEllipse(self): 

    top_left_cords = self.pos[0] 
    bottom_right_cords = self.pos[0] 
    for pos in self.pos: 
     if pos[0] < top_left_cords[0]: 
      top_left_cords = (pos[0], top_left_cords[1]) 

     if pos[1] < top_left_cords[1]: 
      top_left_cords = (top_left_cords[0], pos[1]) 

     if pos[0] > bottom_right_cords[0]: 
      bottom_right_cords = (pos[0], bottom_right_cords[1]) 

     if pos[1] > bottom_right_cords[1]: 
      bottom_right_cords = (bottom_right_cords[0], pos[1]) 

以下是完整代码：

from tkinter import * 
from PIL import Image, ImageTk 

class Window(Frame): 

    def __init__(self, master=None): 
     Frame.__init__(self, master) 

     self.master = master 
     self.pos = [] 
     self.master.title("GUI") 
     self.pack(fill=BOTH, expand=1) 

     self.counter = 0 

     menu = Menu(self.master) 
     self.master.config(menu=menu) 

     file = Menu(menu) 
     file.add_command(label="Exit", command=self.client_exit) 
     menu.add_cascade(label="File", menu=file) 
     analyze = Menu(menu) 

     analyze.add_command(label="Region of Interest",command=self.regionOfInterest) 
     analyze.add_command(label="Erase", command=self.erasePoints) 
     analyze.add_command(label="Create Ellipse", command=self.createEllipse) 

     menu.add_cascade(label="Analyze", menu=analyze) 
     load = Image.open("./Colors/1.png") 
     render = ImageTk.PhotoImage(load) 


     img = Label(self, image=render) 
     img.image = render 
     img.place(x=0, y=0) 

    def createEllipse(self): 

     top_left_cords = self.pos[0] 
     bottom_right_cords = self.pos[0] 
     for pos in self.pos: 
      if pos[0] < top_left_cords[0]: 
       top_left_cords = (pos[0], top_left_cords[1]) 

      if pos[1] < top_left_cords[1]: 
       top_left_cords = (top_left_cords[0], pos[1]) 

      if pos[0] > bottom_right_cords[0]: 
       bottom_right_cords = (pos[0], bottom_right_cords[1]) 

      if pos[1] > bottom_right_cords[1]: 
       bottom_right_cords = (bottom_right_cords[0], pos[1]) 

     print(top_left_cords, bottom_right_cords) 

     canvas.create_oval(top_left_cords, bottom_right_cords) 

    def regionOfInterest(self): 
     root.config(cursor="plus") 
     canvas.bind("<Button-1>", self.imgClick) 

    def erasePoints(self): 
     self.pos = [] 

    def client_exit(self): 
     exit() 

    def imgClick(self, event): 

     if self.counter < 4: 
      x = canvas.canvasx(event.x) 
      y = canvas.canvasy(event.y) 
      self.pos.append((x, y)) 
      print(self.pos) 
      canvas.create_line(x - 5, y, x + 5, y, fill="red", 
tags="crosshair") 
      canvas.create_line(x, y - 5, x, y + 5, fill="red", 
tags="crosshair") 
      self.counter += 1 
     else: 
      canvas.unbind("<Button 1>") 
      root.config(cursor="arrow") 
      self.counter = 0 


root = Tk() 
imgSize = Image.open("./Colors/1.png") 
tkimage = ImageTk.PhotoImage(imgSize) 
w, h = imgSize.size 

canvas = Canvas(root, width=w, height=h) 
canvas.create_image((w/2,h/2),image=tkimage) 
canvas.pack() 

root.geometry("%dx%d"%(w,h)) 
app = Window(root) 
root.mainloop() 

以下是我对测试样本图像的之前和之后。

前：

后：