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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