diff --git a/digital_morphology.py b/digital_morphology.py
new file mode 100644
index 0000000..29e7af1
--- /dev/null
+++ b/digital_morphology.py
@@ -0,0 +1,314 @@
+import tkinter as tk
+from tkinter import filedialog, messagebox
+from tkinter import Toplevel
+from PIL import Image, ImageTk
+import numpy as np
+import cv2
+import os
+
+img_path = ""  # 全局变量，用于存储图像路径
+src = None  # 全局变量，用于存储已选择的图像
+img_label = None  # 全局变量，用于存储显示选择的图片的标签
+edge = None  # 用于存储处理后的图像以便保存
+
+CorrodeWin = None
+DilaWin = None
+OpenWin = None
+CloseWin = None
+
+def select_image(root):
+    global img_path, src, img_label
+
+    img_path = filedialog.askopenfilename(filetypes=[("Image files", "*.jpg;*.png;*.jpeg;*.bmp")])
+    if img_path:
+        # 确保路径中的反斜杠正确处理，并使用 UTF-8 编码处理中文路径
+        img_path_fixed = os.path.normpath(img_path)
+
+        # 图像输入
+        src_temp = cv2.imdecode(np.fromfile(img_path_fixed, dtype=np.uint8), cv2.IMREAD_UNCHANGED)
+        if src_temp is None:
+            messagebox.showerror("错误", "无法读取图片，请选择有效的图片路径")
+            return
+        src = cv2.cvtColor(src_temp, cv2.COLOR_BGR2RGB)
+
+        # 检查 img_label 是否存在且有效
+        if img_label is None or not img_label.winfo_exists():
+            img_label = tk.Label(root)
+            img_label.pack(side=tk.TOP, pady=10)
+
+        img = Image.open(img_path)
+        img.thumbnail((160, 160))
+        img_tk = ImageTk.PhotoImage(img)
+        img_label.configure(image=img_tk)
+        img_label.image = img_tk
+    else:
+        messagebox.showerror("错误", "没有选择图片路径")
+
+def show_selected_image(root):
+    global img_label
+    img_label = tk.Label(root)
+    img_label.pack(side=tk.TOP, pady=10)
+    img = Image.open(img_path)
+    img.thumbnail((160, 160))
+    img_tk = ImageTk.PhotoImage(img)
+    img_label.configure(image=img_tk)
+    img_label.image = img_tk
+
+def changeSize(event, img, LabelPic):
+    img_aspect = img.shape[1] / img.shape[0]
+    new_aspect = event.width / event.height
+
+    if new_aspect > img_aspect:
+        new_width = int(event.height * img_aspect)
+        new_height = event.height
+    else:
+        new_width = event.width
+        new_height = int(event.width / img_aspect)
+
+    resized_image = cv2.resize(img, (new_width, new_height))
+    image1 = ImageTk.PhotoImage(Image.fromarray(resized_image))
+    LabelPic.image = image1
+    LabelPic['image'] = image1
+
+def savefile():
+    global edge
+
+    filename = filedialog.asksaveasfilename(defaultextension=".jpg", filetypes=[("JPEG files", "*.jpg"), ("PNG files", "*.png"), ("BMP files", "*.bmp")])
+    if not filename:
+        return
+    # 确保 edge 变量已定义
+    if edge is not None:
+        try:
+            edge.save(filename)
+            messagebox.showinfo("保存成功", "图片保存成功！")
+        except Exception as e:
+            messagebox.showerror("保存失败", f"无法保存图片: {e}")
+    else:
+        messagebox.showerror("保存失败", "没有图像可保存")
+
+#腐蚀
+def corrode(root):
+    global src, CorrodeWin, edge
+
+    # 判断是否已经选取图片
+    if src is None:
+        messagebox.showerror("错误", "没有选择图片！")
+        return
+
+    # 定义结构元素(该处使用矩形3*3结构)
+    kernel = cv2.getStructuringElement(cv2.MORPH_RECT, (3, 3), anchor=None)
+
+    # 腐蚀图像
+    eroded = cv2.erode(src, kernel)
+
+    # 更新 edge 变量
+    edge = Image.fromarray(eroded)
+
+    # 创建Toplevel窗口
+    try:
+        CorrodeWin.destroy()
+    except Exception:
+        print("NVM")
+    finally:
+        CorrodeWin = Toplevel(root)
+        CorrodeWin.attributes('-topmost', True)
+    CorrodeWin.geometry("360x300")
+    CorrodeWin.resizable(True, True)  # 可缩放
+    CorrodeWin.title("腐蚀结果")
+
+    # 显示图像
+    LabelPic = tk.Label(CorrodeWin, text="IMG", width=360, height=240)
+    image = ImageTk.PhotoImage(Image.fromarray(eroded))
+    LabelPic.image = image
+    LabelPic['image'] = image
+
+    LabelPic.bind('<Configure>', lambda event: changeSize(event, eroded, LabelPic))
+    LabelPic.pack(fill=tk.BOTH, expand=tk.YES)
+
+    # 添加保存按钮
+    btn_save = tk.Button(CorrodeWin, text="保存", bg='#add8e6', fg='black', font=('Helvetica', 14), width=20, command=savefile)
+    btn_save.pack(pady=10)
+
+    return
+
+#膨胀
+def dilatation(root):
+    global src, DilaWin, edge
+
+    # 判断是否已经选取图片
+    if src is None:
+        messagebox.showerror("错误", "没有选择图片！")
+        return
+
+    # 定义结构元素(该处使用矩形3*3结构)
+    kernel = cv2.getStructuringElement(cv2.MORPH_RECT, (3, 3), anchor=None)
+
+    # 膨胀图像
+    dilated = cv2.dilate(src, kernel)
+
+    # 更新 edge 变量
+    edge = Image.fromarray(dilated)
+
+    # 创建Toplevel窗口
+    try:
+        DilaWin.destroy()
+    except Exception:
+        print("NVM")
+    finally:
+        DilaWin = Toplevel(root)
+        DilaWin.attributes('-topmost', True)
+    DilaWin.geometry("360x300")
+    DilaWin.resizable(True, True)  # 可缩放
+    DilaWin.title("膨胀结果")
+
+    # 显示图像
+    LabelPic = tk.Label(DilaWin, text="IMG", width=360, height=240)
+    image = ImageTk.PhotoImage(Image.fromarray(dilated))
+    LabelPic.image = image
+    LabelPic['image'] = image
+
+    LabelPic.bind('<Configure>', lambda event: changeSize(event, dilated, LabelPic))
+    LabelPic.pack(fill=tk.BOTH, expand=tk.YES)
+
+    # 添加保存按钮
+    btn_save = tk.Button(DilaWin, text="保存", bg='#add8e6', fg='black', font=('Helvetica', 14), width=20, command=savefile)
+    btn_save.pack(pady=10)
+
+    return
+
+#开运算
+def open_op(root):
+    global src, OpenWin, edge
+
+    # 判断是否已经选取图片
+    if src is None:
+        messagebox.showerror("错误", "没有选择图片！")
+        return
+
+    # 交叉结构元
+    kernel = cv2.getStructuringElement(cv2.MORPH_CROSS, (5, 5))
+
+    # 进行开运算
+    open_result = cv2.morphologyEx(src, cv2.MORPH_OPEN, kernel)
+
+    # 更新 edge 变量
+    edge = Image.fromarray(open_result)
+
+    # 创建Toplevel窗口
+    try:
+        OpenWin.destroy()
+    except Exception:
+        print("NVM")
+    finally:
+        OpenWin = Toplevel(root)
+        OpenWin.attributes('-topmost', True)
+    OpenWin.geometry("360x300")
+    OpenWin.resizable(True, True)  # 可缩放
+    OpenWin.title("开运算结果")
+
+    # 显示图像
+    LabelPic = tk.Label(OpenWin, text="IMG", width=360, height=240)
+    image = ImageTk.PhotoImage(Image.fromarray(open_result))
+    LabelPic.image = image
+    LabelPic['image'] = image
+
+    LabelPic.bind('<Configure>', lambda event: changeSize(event, open_result, LabelPic))
+    LabelPic.pack(fill=tk.BOTH, expand=tk.YES)
+
+    # 添加保存按钮
+    btn_save = tk.Button(OpenWin, text="保存", bg='#add8e6', fg='black', font=('Helvetica', 14), width=20, command=savefile)
+    btn_save.pack(pady=10)
+
+    return
+
+# 闭运算
+def close_op(root):
+    global src, CloseWin, edge
+
+    # 判断是否已经选取图片
+    if src is None:
+        messagebox.showerror("错误", "没有选择图片！")
+        return
+
+    # 交叉结构元
+    kernel = cv2.getStructuringElement(cv2.MORPH_CROSS, (10, 10))
+
+    # 进行闭运算
+    close_result = cv2.morphologyEx(src, cv2.MORPH_CLOSE, kernel)
+
+    # 更新 edge 变量
+    edge = Image.fromarray(close_result)
+
+    # 创建 Toplevel 窗口
+    try:
+        CloseWin.destroy()
+    except Exception:
+        print("NVM")
+    finally:
+        CloseWin = Toplevel(root)
+        CloseWin.attributes('-topmost', True)
+    CloseWin.geometry("360x300")
+    CloseWin.resizable(True, True)  # 可缩放
+    CloseWin.title("闭运算结果")
+
+    # 显示图像
+    LabelPic = tk.Label(CloseWin, text="IMG", width=360, height=240)
+    image = ImageTk.PhotoImage(Image.fromarray(close_result))
+    LabelPic.image = image
+    LabelPic['image'] = image
+
+    LabelPic.bind('<Configure>', lambda event: changeSize(event, close_result, LabelPic))
+    LabelPic.pack(fill=tk.BOTH, expand=tk.YES)
+
+    # 添加保存按钮
+    btn_save = tk.Button(CloseWin, text="保存", bg='#add8e6', fg='black', font=('Helvetica', 14), width=20, command=savefile)
+    btn_save.pack(pady=10)
+
+    return
+
+# 边缘检测
+def edge_detection(root):
+    global src, EdgeWin, edge
+
+    # 判断是否已经选取图片
+    if src is None:
+        messagebox.showerror("错误", "没有选择图片！")
+        return
+
+    # 使用 Sobel 算子进行边缘检测
+    sobelx = cv2.Sobel(cv2.cvtColor(src, cv2.COLOR_RGB2GRAY), cv2.CV_64F, 1, 0, ksize=5)
+    sobely = cv2.Sobel(cv2.cvtColor(src, cv2.COLOR_RGB2GRAY), cv2.CV_64F, 0, 1, ksize=5)
+    abs_sobelx = np.absolute(sobelx)
+    abs_sobely = np.absolute(sobely)
+    sobel_combined = cv2.bitwise_or(np.uint8(abs_sobelx), np.uint8(abs_sobely))
+    sobel_combined = cv2.cvtColor(sobel_combined, cv2.COLOR_GRAY2RGB)
+
+    # 更新 edge 变量
+    edge = Image.fromarray(sobel_combined)
+
+    # 创建 Toplevel 窗口
+    try:
+        EdgeWin.destroy()
+    except Exception:
+        print("NVM")
+    finally:
+        EdgeWin = Toplevel(root)
+        EdgeWin.attributes('-topmost', True)
+    EdgeWin.geometry("360x300")
+    EdgeWin.resizable(True, True)  # 可缩放
+    EdgeWin.title("边缘检测结果")
+
+    # 显示图像
+    LabelPic = tk.Label(EdgeWin, text="IMG", width=360, height=240)
+    image = ImageTk.PhotoImage(Image.fromarray(sobel_combined))
+    LabelPic.image = image
+    LabelPic['image'] = image
+
+    LabelPic.bind('<Configure>', lambda event: changeSize(event, sobel_combined, LabelPic))
+    LabelPic.pack(fill=tk.BOTH, expand=tk.YES)
+
+    # 添加保存按钮
+    btn_save = tk.Button(EdgeWin, text="保存", bg='#add8e6', fg='black', font=('Helvetica', 14), width=20, command=savefile)
+    btn_save.pack(pady=10)
+
+    return
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