python + pyqt +opencv 有界面，对lable中的图片进行图像旋转，向右平移，向下平移，二值化，灰度，边缘检测
对lable中的图片进行图像旋转，向右平移，向下平移，二值化，灰度，边缘检测
要求：
一个界面，具体界面内容自行设计但必须符合以下要求
多个操作按钮：
1.图像180°旋转
2.图像向右平移
3.图像向下平移
4.图像二值化
5.图像灰度
6.图像边缘检测
7.打开图片
8.退出
两个标签用于图片显示对比：
1.原图片
2.操作后图片
要求：
1.图片读取路径不能指定
import cv2
import numpy as np
import sys
from PyQt5 import QtWidgets, QtCore, QtGui
from PyQt5.QtGui import *
from PyQt5.QtWidgets import *
from PyQt5.QtCore import *
fname=''
one=0
two=0
three=180
class picture(QWidget):
def __init__(self):
super(picture, self).__init__()
self.resize(900,500)
self.center() #使窗口居中
self.setWindowTitle("label显示图片")
self.setWindowIcon(QIcon('1.jpg'))
self.label = QLabel(self)
self.label.setText(" 显示图片")
self.label.setFixedSize(300, 400)
self.label.move(200,30)
self.label.setStyleSheet("QLabel{background:white;}"
"QLabel{color:rgb(300,300,300,120);font-size:20px;font-weight:bold;font-family:宋体;}"
)
self.label2 = QLabel(self)
self.label2.setText(" 显示图片")
self.label2.setFixedSize(300, 400)
self.label2.move(550, 30)
self.label2.setStyleSheet("QLabel{background:white;}"
"QLabel{color:rgb(300,300,300,120);font-size:20px;font-weight:bold;font-family:宋体;}"
)
btn_1 = QPushButton(self)
btn_1.setText("打开图片")
btn_1.move(30, 30)
btn_1.clicked.connect(self.openimage)
btn_2 = QPushButton(self)
btn_2.setText("图像旋转180")
btn_2.move(30, 80)
btn_2.clicked.connect(self.xaunzhuan180)
btn_3 = QPushButton(self)
btn_3.setText("图像向右平移")
btn_3.move(30, 130)
btn_3.clicked.connect(self.youyi)
btn_4 = QPushButton(self)
btn_4.setText("图像向下平移")
btn_4.move(30, 180)
btn_4.clicked.connect(self.xiayi)
btn_5 = QPushButton(self)
btn_5.setText("图像二值化")
btn_5.move(30, 230)
btn_5.clicked.connect(self.erzhihua)
btn_6 = QPushButton(self)
btn_6.setText("图像灰度")
btn_6.move(30, 280)
btn_6.clicked.connect(self.huidu)
btn_7 = QPushButton(self)
btn_7.setText("图像边缘检测")
btn_7.move(30, 330)
btn_7.clicked.connect(self.bianyuan)
btn_8 = QPushButton(self)
btn_8.setText("退出")
btn_8.move(30, 380)
btn_8.clicked.connect(QCoreApplication.quit)
print("成功退出")
btn_1 = QPushButton(self)
btn_1.setText("清除图片")
btn_1.move(30, 430)
btn_1.clicked.connect(self.qingchu)
def openimage(self):
global fname
global one
global two
QMessageBox.question(self, '提醒', '选择图片时要是绝对路径(且全英文路径)',
QMessageBox.Ok )
imgName, imgType = QFileDialog.getOpenFileName(self, "打开图片", "", "*;;*.png;;All Files(*)")
# jpg = QtGui.QPixmap(imgName).scaled(self.label.width(), self.label.height())
# self.label.setPixmap(QPixmap(jpg))
# self.label2.setPixmap(QPixmap(jpg))
image=cv2.imread(imgName)
if image is None:
print("未选择图片")
else:
size = (int(self.label2.width()), int(self.label2.height()))
shrink = cv2.resize(image, size, interpolation=cv2.INTER_AREA)
shrink = cv2.cvtColor(shrink, cv2.COLOR_BGR2RGB)
self.QtImg = QtGui.QImage(shrink.data,
shrink.shape[1],
shrink.shape[0],
QtGui.QImage.Format_RGB888)
self.label.setPixmap(QtGui.QPixmap.fromImage(self.QtImg))
self.label2.setPixmap(QtGui.QPixmap.fromImage(self.QtImg))
fname = imgName
print(imgName)
one = 50
two = 50
def xaunzhuan180(self):
global fname
global three
image=cv2.imread(fname)
if image is None:
print("未选择图片")
else:
h, w = image.shape[:2]
M = cv2.getRotationMatrix2D((w / 2, h / 2), three, 1) #旋转 通过getRotationMatrix2D得到图像旋转后的矩阵
dst = cv2.warpAffine(image, M, (w, h)) #通过仿射变换函数warpAffine将矩阵转化为图像
size = (int(self.label2.width()), int(self.label2.height())) #获得控件lable的尺寸
shrink = cv2.resize(dst, size, interpolation=cv2.INTER_AREA) #对图像进行缩放
shrink = cv2.cvtColor(shrink, cv2.COLOR_BGR2RGB)
self.QtImg = QtGui.QImage(shrink.data,
shrink.shape[1],
shrink.shape[0],
QtGui.QImage.Format_RGB888)
self.label2.setPixmap(QtGui.QPixmap.fromImage(self.QtImg))
three+=180
def youyi(self):
global fname
global one
global two
two=50
image = cv2.imread(fname)
if image is None:
print("未选择图片")
else:
if one==50:
M = np.array([[1, 0, one], [0, 1, 0]], dtype=np.float32)
image1 = cv2.warpAffine(image, M, (image.shape[1], image.shape[0]))
size = (int(self.label2.width()), int(self.label2.height()))
shrink = cv2.resize(image1, size, interpolation=cv2.INTER_AREA)
shrink = cv2.cvtColor(shrink, cv2.COLOR_BGR2RGB)
self.QtImg = QtGui.QImage(shrink.data,
shrink.shape[1],
shrink.shape[0],
QtGui.QImage.Format_RGB888)
self.label2.setPixmap(QtGui.QPixmap.fromImage(self.QtImg))
one+=50
else:
M = np.array([[1, 0, one], [0, 1, 0]], dtype=np.float32)
image1 = cv2.warpAffine(image, M, (image.shape[1], image.shape[0]))
size = (int(self.label2.width()), int(self.label2.height()))
shrink = cv2.resize(image1, size, interpolation=cv2.INTER_AREA)
shrink = cv2.cvtColor(shrink, cv2.COLOR_BGR2RGB)
self.QtImg = QtGui.QImage(shrink.data,
shrink.shape[1],
shrink.shape[0],
QtGui.QImage.Format_RGB888)
self.label2.setPixmap(QtGui.QPixmap.fromImage(self.QtImg))
one += 50
def xiayi(self):
global fname
global one
global two
one=50
image = cv2.imread(fname)
if image is None:
print("未选择图片")
else:
if two == 50:
M = np.array([[1, 0, 0], [0, 1, two]], dtype=np.float32)
image1 = cv2.warpAffine(image, M, (image.shape[1], image.shape[0]))
size = (int(self.label2.width()), int(self.label2.height()))
shrink = cv2.resize(image1, size, interpolation=cv2.INTER_AREA)
shrink = cv2.cvtColor(shrink, cv2.COLOR_BGR2RGB)
self.QtImg = QtGui.QImage(shrink.data,
shrink.shape[1],
shrink.shape[0],
QtGui.QImage.Format_RGB888)
self.label2.setPixmap(QtGui.QPixmap.fromImage(self.QtImg))
two += 50
else:
M = np.array([[1, 0, 0], [0, 1, two]], dtype=np.float32)
image1 = cv2.warpAffine(image, M, (image.shape[1], image.shape[0]))
size = (int(self.label2.width()), int(self.label2.height()))
shrink = cv2.resize(image1, size, interpolation=cv2.INTER_AREA)
shrink = cv2.cvtColor(shrink, cv2.COLOR_BGR2RGB)
self.QtImg = QtGui.QImage(shrink.data,
shrink.shape[1],
shrink.shape[0],
QtGui.QImage.Format_RGB888)
self.label2.setPixmap(QtGui.QPixmap.fromImage(self.QtImg))
two += 50
def erzhihua(self):
global fname
image = cv2.imread(fname)
if image is None:
print("未选择图片")
else:
image=cv2.cvtColor(image,cv2.COLOR_BGR2GRAY)
ret,binary=cv2.threshold(image,0,255,cv2.THRESH_OTSU|cv2.THRESH_BINARY)
print("二值化的阈值为:",ret)
size = (int(self.label2.width()), int(self.label2.height()))
shrink = cv2.resize(binary, size, interpolation=cv2.INTER_AREA)
shrink = cv2.cvtColor(shrink, cv2.COLOR_BGR2RGB)
self.QtImg = QtGui.QImage(shrink.data,
shrink.shape[1],
shrink.shape[0],
QtGui.QImage.Format_RGB888)
self.label2.setPixmap(QtGui.QPixmap.fromImage(self.QtImg))
def huidu(self):
global fname
image = cv2.imread(fname)
if image is None:
print("未选择图片")
else:
image = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
size = (int(self.label2.width()), int(self.label2.height()))
shrink = cv2.resize(image, size, interpolation=cv2.INTER_AREA)
shrink = cv2.cvtColor(shrink, cv2.COLOR_BGR2RGB)
self.QtImg = QtGui.QImage(shrink.data,
shrink.shape[1],
shrink.shape[0],
QtGui.QImage.Format_RGB888)
self.label2.setPixmap(QtGui.QPixmap.fromImage(self.QtImg))
def bianyuan(self):
global fname
image = cv2.imread(fname)
if image is None:
print("未选择图片")
else:
image = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
image1=cv2.Canny(image,50,120)
size = (int(self.label2.width()), int(self.label2.height()))
shrink = cv2.resize(image1, size, interpolation=cv2.INTER_AREA)
shrink = cv2.cvtColor(shrink, cv2.COLOR_BGR2RGB)
self.QtImg = QtGui.QImage(shrink.data,
shrink.shape[1],
shrink.shape[0],
QtGui.QImage.Format_RGB888)
self.label2.setPixmap(QtGui.QPixmap.fromImage(self.QtImg))
def qingchu(self):
self.label.setPixmap(QPixmap(""))
self.label2.setPixmap(QPixmap(""))
def center(self): # 控制窗口显示在屏幕中心的方法
# 获得窗口
qr = self.frameGeometry()
# 获得屏幕中心点
cp = QDesktopWidget().availableGeometry().center()
# 显示到屏幕中心
qr.moveCenter(cp)
self.move(qr.topLeft())
if __name__ == "__main__":
app = QtWidgets.QApplication(sys.argv)
my = picture()
my.show()
sys.exit(app.exec_())
效果图：
图像旋转180°：
图像向右平移：
图像向下平移：
图像二值化：
图像灰度：
图像边缘检测：
