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任务：对提供的材料照片，材料的裂纹缺陷进行识别并测量长度识别前的图像如下：利用Halcon 12.0 对其进行 图像处理大致思路及流程：（1）批量导入图片，打开图片并显示，转化为灰度图（2）对图像进行增强，并根据图像特点（裂纹处在横向方向，因此将纵向的干扰滤掉）（3）选取阈值，划分连通域，并选到裂纹部分（阈值及裂纹的选取决定了最后长度识别的准确度）（4）做外接矩形，并对其进行...

import cv2img = cv2.imread("01result1.bmp")############图片读取pictue_size=img.shapepicture_height=pictue_size[0]picture_width=pictue_size[1]print(picture_height,picture_width)i = 0for a in range(...

import cv2import numpy as npo = cv2.imread('03result3.bmp')cv2.imshow("original",o)gray = cv2.cvtColor(o,cv2.COLOR_BGR2GRAY)ret, binary = cv2.threshold(gray,127,255,cv2.THRESH_BINARY)image,cont...

import numpy as npimport cv2from matplotlib import pyplot as pltprint('1. 读入待处理图片。')image = cv2.imread('molaishi1.bmp')# 转换成灰度图：print('2. 灰度化。')gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)#...

原图像：import cv2import numpy as npimg1=cv2.imread("binary3.bmp")k=np.ones((3 , 1),np.uint8)r1=cv2.morphologyEx(img1,cv2.MORPH_OPEN,k)cv2.imshow("img1",img1)cv2.imshow("result",r1)cv2.waitKey()...

原照片import cv2 as cv#Scharr算子(Sobel算子的增强版，效果更突出)def Scharr_demo(image): grad_x = cv.Scharr(image, cv.CV_32F, 1, 0) #对x求一阶导 grad_y = cv.Scharr(image, cv.CV_32F, 0, 1) #对y求一阶导 gradx =...

原图像：import cv2o=cv2.imread("binary3.bmp")cv2.imshow("original",o)# 中值滤波r1=cv2.medianBlur(o,1)cv2.imshow("result1",r1)# 高斯滤波r2=cv2.GaussianBlur(o,(7,7),0,0)cv2.imshow("result2",r2)#双边滤波r3=c...

反色处理：原先图像的背景是白色，而目标是黑色的话；经过反色处理后，背景变为白色，目标变为黑色。原图像为：import cv2 as cvdef access_pixels(image): height, width, channels = image.shape print("width:%s,height:%s,channels:%s" % (width, height...

Python版本是Python3.7.3，OpenCV版本OpenCV3.4.1，开发环境为PyCharm原照片import cv2 as cvimport numpy as np#全局阈值def threshold_demo(image): gray = cv.cvtColor(image, cv.COLOR_RGB2GRAY) #把输入图像灰度化 #直接阈值化是对...