直接读取图片
- def display_img(file="p.jpeg"):
- img = cv.imread(file)
- print (img.shape)
- cv.imshow('image',img)
- cv.waitKey(0)
- cv.destroyAllWindows()
读取灰度图片
- def display_gray_img(file="p.jpeg"):
- img = cv.imread(file,cv.IMREAD_GRAYSCALE)
- print (img.shape)
- cv.imshow('image',img)
- cv.waitKey(0)
- cv.destroyAllWindows()
- cv.imwrite("gray_img.png",img)
读取视频
- def display_video(file="sj.mp4"):
- v = cv.VideoCapture(file)
- if v.isOpened():
- open,frame = v.read()
- else:
- open=False
- while open:
- ret,frame = v.read()
- if frame is None:
- break
- if ret == True:
- gray = cv.cvtColor(frame,cv.COLOR_BGR2GRAY)
- cv.imshow("result",gray)
- if cv.waitKey(10) & 0xFF == 27:
- break
- v.release()
- v.waitKey(0)
- v.destroyAllWindows()
截取图片
- def get_frame_img(file="p.jpeg"):
- img = cv.imread(file)
- print (img.shape)
- cat = img[0:200,0:200]
- cv.imshow('get_frame_img',cat)
- cv.waitKey(0)
- cv.destroyAllWindows()
提取rgb通道
- def extrats_rgb_img(file="p.jpeg"):
- img = cv.imread(file)
- b,g,r = cv.split(img)
- print (b.shape,g.shape,r.shape)
- new_img = cv.merge((b,g,r))
- print (new_img.shape)
- copy_img_r = img.copy()
- copy_img_r[:,:,0]=0
- copy_img_r[:,:,1]=0
- cv.imshow("r_img",copy_img_r)
- copy_img_g = img.copy()
- copy_img_g[:,:,0]=0
- copy_img_g[:,:,2]=0
- cv.imshow("g_img",copy_img_g)
- copy_img_b = img.copy()
- copy_img_b[:,:,1]=0
- copy_img_b[:,:,2]=0
- cv.imshow("b_img",copy_img_b)
边界填充
- def border_fill_img(file="p.jpeg"):
- border_type = [
- cv.BORDER_REPLICATE,#复制法,复制边缘
- cv.BORDER_REFLECT, #反射法,对感兴趣的图像中的像素在两边进行复制
- cv.BORDER_REFLECT_101,#反射法,以边缘像素为轴,对称
- cv.BORDER_WRAP,#外包装法
- cv.BORDER_CONSTANT#常量法,常量填充
- ]
- border_title = [
- "REPLICATE",
- "REFLECT",
- "REFLECT_101",
- "WRAP",
- "CONSTANT"
- ]
- img = cv.imread(file)
- top_size,bottom_size,left_size,right_size = (50,50,50,50)
- plt.subplot(231)
- plt.imshow(img,"gray")#原始图像
- plt.title("ORIGNAL")
- for i in range(len(border_type)):
- result = cv.copyMakeBorder(img,top_size,bottom_size,left_size,right_size,border_type[i])
- plt.subplot(232+i)
- plt.imshow(result,"gray")
- plt.title(border_title[i])
- plt.show()
图像融合,变换
- def img_compose(file1="tu.jpeg",file2="gui.jpeg"):
- img_1 = cv.imread(file1)
- img_2 = cv.imread(file2)
- print (img_1.shape)
- print (img_2.shape)
- img_1= cv.resize(img_1,(500,500))
- img_2= cv.resize(img_2,(500,500))
- print (img_1.shape)
- print (img_2.shape)
- res = cv.addWeighted(img_1,0.4,img_2,0.6,0)
- plt.imshow(res)
- plt.show()
- res = cv.resize(img_1,(0,0),fx=3,fy=1)
- plt.imshow(res)
- plt.show()
- res = cv.resize(img_2,(0,0),fx=1,fy=3)
- plt.imshow(res)
- plt.show()
二值化处理
- def Binarization(filepath):
- img = cv2.imread(filepath,0)
- limit = 120
- ret,thresh=cv2.threshold(img,limit,255,cv2.THRESH_BINARY_INV)
- plt.imshow(thresh,'gray')
- plt.show()
- return thresh
- Binarization('t1.jpg')
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原文链接:https://blog.csdn.net/qq_38641985/article/details/115023738