def setImage(self, image):
"""
设置要处理的图片
:param image: 是cv2读进来的图片对象
"""
image = ImageTool.preProcessImage(image)
super(GasmeterStyle0, self).setImage(image)
def getLCDAreaData(image):
"""
获取 LCD 区域图片数据
:param image: cv2 读进来的图片对象
"""
image = ImageTool.preProcessImage(image)
blackMask = MaskTool.getBlackMaskBGR()
image = blackMask.getInterestImageAreaData(image)
shape = image.shape
grayImage = ImageTool.convertImgBGR2Gray(image)
mid = int(shape[0] / 2)
splitImageBox = (0, mid, shape[1], shape[0])
splitImageGray = ImageTool.getCropImageByBox(grayImage, splitImageBox)
splitImage = ImageTool.getCropImageByBox(image, splitImageBox)
# 显示剪切的 lcd 屏所在的下半屏灰度图
ImageTool.showImagePIL(splitImageGray, "splitImageGray")
retval, otsuImage = ImageTool.getOTSUGrayImage(splitImageGray)
otsuImage = ImageTool.convertImgGray2BGR(otsuImage)
lower = (250, 250, 250)
upper = (255, 255, 255)
lcdBoxCorner = ImageTool.getInterestBoxCornerPointByColor(
otsuImage, lower, upper)
lcdBox = LCDLightDetect.getMinBox(lcdBoxCorner)
# ImageTool.showBoxInImageByBox(splitImage, lcdBox)
lcdImage = ImageTool.getCropImageByBox(splitImage, lcdBox)
return lcdImage
def setImage(self, image):
"""
设置要处理的图片
:param image: 是cv2读进来的图片对象
提取表头黑色背景区域图片保存到 self._image 域中，方便以后提取条形码、液晶屏、黑底白字滚轮区域数字
"""
if image is None:
raise ValueError("image is None")
image = ImageTool.preProcessImage(image)
# ImageTool.showImagePIL(image)
super(GasmeterStyle1, self).setImage(image)
blackMask = MaskTool.getBlackMaskBGR()
self._image = blackMask.getInterestImageAreaData(self._image)
self._grayImage = ImageTool.convertImgBGR2Gray(self._image)
