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MorphologyFinder.py
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#Author: Stan Yin
#GitHub Name: SomeB1oody
#This project is based on CC 4.0 BY, please mention my name if you use it.
#This project requires opencv and wx.
import cv2
import wx
def convert_to_double(str1, str2):
# 初始化返回的值
double1, double2 = None, None
error_message = None
success = True
# 转换第一个字符串
try:
if str1 != "": # 空字符串跳过转换，直接赋值 None
double1 = float(str1)
if double1 < 0: # 检查是否为负数
success = False
error_message = f"Error: First input is negative: {str1}"
# 空字符串情况算作成功转换
except ValueError:
success = False
error_message = f"Error: First input is not a valid number: {str1}"
# 转换第二个字符串
try:
if str2 != "": # 空字符串跳过转换，直接赋值 None
double2 = float(str2)
if double2 < 0: # 检查是否为负数
success = False
error_message = f"Error: Second input is negative: {str2}"
except ValueError:
success = False
error_message = f"Error: Second input is not a valid number: {str2}"
return success, double1, double2, error_message
def detect_rectangles(img, min_area, aspect_ratio_range_min, aspect_ratio_range_max):
# 1. 转换为灰度图像
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
# 2. 高斯模糊去噪
blurred = cv2.GaussianBlur(gray, (5, 5), 0)
# 3. Canny 边缘检测
edged = cv2.Canny(blurred, 50, 150)
# 4. 形态学膨胀操作
kernel = cv2.getStructuringElement(cv2.MORPH_RECT, (5, 5))
dilated = cv2.dilate(edged, kernel, iterations=2)
# 5. 找到轮廓
contours, _ = cv2.findContours(dilated.copy(), cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)
# 6. 遍历所有轮廓，筛选矩形
rectangles = []
for contour in contours:
# 使用多边形逼近轮廓
epsilon = 0.02 * cv2.arcLength(contour, True)
approx = cv2.approxPolyDP(contour, epsilon, True)
# 如果多边形有 4 个顶点，并且是凸的，则认为是矩形
if len(approx) == 4 and cv2.isContourConvex(approx):
# 计算矩形的面积
area = cv2.contourArea(approx)
if min_area:
if area < min_area:
continue # 忽略面积太小的矩形
# 计算矩形的宽高比
x, y, w, h = cv2.boundingRect(approx)
aspect_ratio = w / float(h)
if aspect_ratio_range_min or aspect_ratio_range_max:
if aspect_ratio_range_min and aspect_ratio_range_max:
if aspect_ratio_range_min <= aspect_ratio <= aspect_ratio_range_max:
rectangles.append(approx)
elif aspect_ratio_range_min:
if aspect_ratio_range_min <= aspect_ratio:
rectangles.append(approx)
elif aspect_ratio_range_max:
if aspect_ratio <= aspect_ratio_range_max:
rectangles.append(approx)
# 7. 在图像上绘制矩形
img_with_rectangles = img.copy()
for rect in rectangles:
cv2.drawContours(img_with_rectangles, [rect], -1, (0, 255, 0), 3)
return img_with_rectangles
class MorphologyRectangle(wx.Frame):
def __init__(self, *args, **kw):
super(MorphologyRectangle, self).__init__(*args, **kw)
panel = wx.Panel(self)
self.vbox = wx.BoxSizer(wx.VERTICAL)
# 输入路径
self.hbox = wx.BoxSizer(wx.HORIZONTAL)
self.file_button = wx.Button(panel, label="Select image")
self.Bind(wx.EVT_BUTTON, self.on_select_file, self.file_button)
self.hbox.Add(self.file_button,flag=wx.ALL, border=5)
self.input_path_text = wx.StaticText(panel, label="Click \"Select image\" first")
self.hbox.Add(self.input_path_text, flag=wx.ALL, border=5)
self.vbox.Add(self.hbox, flag=wx.EXPAND)
# 最小面积
self.vbox.Add(wx.StaticText(panel, label=
"Specify the minimum area(pixel^2) to look for(not specified if left blank)："
), flag=wx.ALL, border=5)
self.vbox.Add(wx.StaticText(panel, label="Digit only"), flag=wx.ALL, border=5)
self.minimum_area = wx.TextCtrl(panel)
self.vbox.Add(self.minimum_area, flag=wx.ALL, border=5)
# 长宽比
self.vbox.Add(wx.StaticText(panel, label=
"Specify the aspect ratio range to look for(not specified if left blank)"
), flag=wx.ALL, border=5)
self.vbox.Add(wx.StaticText(panel, label=
"Digit only Example: 0.9 ~ 1.1"
), flag=wx.ALL, border=5)
self.hbox = wx.BoxSizer(wx.HORIZONTAL)
self.range_min = wx.TextCtrl(panel)
self.range_max = wx.TextCtrl(panel)
self.hbox.Add(self.range_min, flag=wx.ALL, border=2)
self.hbox.Add(wx.StaticText(panel, label="~"), flag=wx.ALL, border=5)
self.hbox.Add(self.range_max, flag=wx.ALL, border=2)
self.vbox.Add(self.hbox, flag=wx.ALL, border=5)
# 查找按钮
self.find_button = wx.Button(panel, label="Find")
self.find_button.Bind(wx.EVT_BUTTON, self.on_find_button)
self.vbox.Add(self.find_button, flag=wx.ALL, border=5)
# 设置面板的布局管理器
panel.SetSizer(self.vbox)
panel.Layout()
def on_select_file(self, event):
with wx.FileDialog(None, "Select a image", wildcard="所有文件 (*.*)|*.*",
style=wx.FD_OPEN | wx.FD_FILE_MUST_EXIST) as dialog:
if dialog.ShowModal() == wx.ID_OK:
self.input_path_text.SetLabel(f"{dialog.GetPath()}")
self.selected_file = dialog.GetPath()
def on_find_button(self, event):
#获取输入
path = self.selected_file
min_area = self.minimum_area.GetValue()
rmin = self.range_min.GetValue()
rmax = self.range_max.GetValue()
if path:
img = cv2.imread(path, cv2.IMREAD_COLOR)
if img is None:
wx.MessageBox("Fail to load image", "Error", wx.OK, wx.ICON_ERROR)
return
else:
wx.MessageBox("Please enter input path first", 'Error', wx.OK | wx.ICON_ERROR)
return
if min_area:
if min_area.isdigit():
min_area = int(min_area)
if min_area == 0:
wx.MessageBox(
"input should be a nonnegative integer", "Error", wx.OK | wx.ICON_ERROR)
return
else:
wx.MessageBox(
"input should be a nonnegative integer", "Error", wx.OK | wx.ICON_ERROR)
return
flag, range_min, range_max, error_message = convert_to_double(rmin, rmax)
if not flag:
wx.MessageBox(error_message, "Error", wx.OK | wx.ICON_ERROR)
return
img_with_rectangles = detect_rectangles(img, min_area, range_min, range_max)
cv2.imshow("Morphology", img_with_rectangles)
cv2.waitKey(0)
if __name__ == "__main__":
app = wx.App()
frame = MorphologyRectangle(None)
frame.SetTitle('Morphology Transformer')
frame.SetSize((500, 325))
frame.Show()
app.MainLoop()