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import cv2
import numpy as np
import random
import math
img = cv2.imread('1.jpg',1)
imgInfo = img.shape
height = imgInfo[0]
width = imgInfo[1]
cv2.imshow('src',img)
# sobel 1 算子模版 2 图片卷积 3 阈值判决
# [1 2 1 [ 1 0 -1
# 0 0 0 2 0 -2
# -1 -2 -1 ] 1 0 -1 ]
# [1 2 3 4] [a b c d] a*1+b*2+c*3+d*4 = dst
# sqrt(a*a+b*b) = f>th
gray = cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)
dst = np.zeros((height,width,1),np.uint8)
for i in range(0,height-2):
for j in range(0,width-2):
gy = gray[i,j]*1+gray[i,j+1]*2+gray[i,j+2]*1-gray[i+2,j]*1-gray[i+2,j+1]*2-gray[i+2,j+2]*1
gx = gray[i,j]+gray[i+1,j]*2+gray[i+2,j]-gray[i,j+2]-gray[i+1,j+2]*2-gray[i+2,j+2]
grad = math.sqrt(gx*gx+gy*gy)
if grad>50:
dst[i,j] = 255
else:
dst[i,j] = 0
cv2.imshow('dst',dst)
cv2.waitKey(0)
import cv2
import numpy as np
img = cv2.imread('1.jpg',1)
imgInfo = img.shape
height = imgInfo[0]
width = imgInfo[1]
gray = cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)
# newP = gray0-gray1+150
dst = np.zeros((height,width,1),np.uint8)
for i in range(0,height):
for j in range(0,width-1):
grayP0 = int(gray[i,j])
grayP1 = int(gray[i,j+1])
newP = grayP0-grayP1+150
if newP > 255:
newP = 255
if newP < 0:
newP = 0
dst[i,j] = newP
cv2.imshow('dst',dst)
cv2.waitKey(0)
import cv2
import numpy as np
img = cv2.imread('1.jpg',1)
cv2.imshow('src',img)
imgInfo = img.shape
height = imgInfo[0]
width = imgInfo[1]
#rgb -》RGB new “蓝色”
# b=b*1.5
# g = g*1.3
dst = np.zeros((height,width,3),np.uint8)
for i in range(0,height):
for j in range(0,width):
(b,g,r) = img[i,j]
b = b*1.5
g = g*1.3
if b>255:
b = 255
if g>255:
g = 255
dst[i,j]=(b,g,r)
cv2.imshow('dst',dst)
cv2.waitKey(0)
#1 gray
#1.2 7*7 10*10
#1.3 0-255 256
#1.4 64 0-63 64-127
# 3 10 0-63 99
# 4 count
# 5 dst = result
import cv2
import numpy as np
img = cv2.imread('image00.jpg',1)
#cv2.imshow('src',img)
imgInfo = img.shape
height = imgInfo[0]
width = imgInfo[1]
gray = cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)
dst = np.zeros((height,width,3),np.uint8)
for i in range(4,height-4):
for j in range(4,width-4):
array1 = np.zeros(8,np.uint8)
for m in range(-4,4):
for n in range(-4,4):
p1 = int(gray[i+m,j+n]/32)
array1[p1] = array1[p1]+1
currentMax = array1[0]
l = 0
for k in range(0,8):
if currentMax<array1[k]:
currentMax = array1[k]
l = k
# 简化 均值
for m in range(-4,4):
for n in range(-4,4):
if gray[i+m,j+n]>=(l*32) and gray[i+m,j+n]<=((l+1)*32):
(b,g,r) = img[i+m,j+n]
dst[i,j] = (b,g,r)
cv2.imshow('dst',dst)
#cv2.imwrite('666.jpg',dst) # 1 name 2 data
cv2.waitKey(0)
import cv2
import numpy as np
newImageInfo = (500,500,3)
dst = np.zeros(newImageInfo,np.uint8)
# line
# 绘制线段 1 dst 2 begin 3 end 4 color
cv2.line(dst,(100,100),(400,400),(0,0,255))
# 5 line w
cv2.line(dst,(100,200),(400,200),(0,255,255),20)
# 6 line type
cv2.line(dst,(100,300),(400,300),(0,255,0),20,cv2.LINE_AA)
cv2.line(dst,(200,150),(50,250),(25,100,255))
cv2.line(dst,(50,250),(400,380),(25,100,255))
cv2.line(dst,(400,380),(200,150),(25,100,255))
cv2.imshow('dst',dst)
cv2.waitKey(0)
import cv2
import numpy as np
newImageInfo = (500,500,3)
dst = np.zeros(newImageInfo,np.uint8)
# 1 2 左上角 3 右下角 4 5 fill -1 >0 line w
cv2.rectangle(dst,(50,100),(200,300),(255,0,0),5)
# 2 center 3 r
cv2.circle(dst,(250,250),(50),(0,255,0),2)
# 2 center 3 轴 4 angle 5 begin 6 end 7
cv2.ellipse(dst,(256,256),(150,100),0,0,180,(255,255,0),-1)
points = np.array([[150,50],[140,140],[200,170],[250,250],[150,50]],np.int32)
print(points.shape)
points = points.reshape((-1,1,2))
print(points.shape)
cv2.polylines(dst,[points],True,(0,255,255))
cv2.imshow('dst',dst)
cv2.waitKey(0)
文字放在图片上
import cv2
import numpy as np
img = cv2.imread('image0.jpg',1)
font = cv2.FONT_HERSHEY_SIMPLEX
cv2.rectangle(img,(200,100),(500,400),(0,255,0),3)
# 1 dst 2 文字内容 3 坐标 4 5 字体大小 6 color 7 粗细 8 line type
cv2.putText(img,'this is flow',(100,300),font,1,(200,100,255),2,cv2.LINE_AA)
cv2.imshow('src',img)
cv2.waitKey(0)
图片放在图片上
import cv2
img = cv2.imread('image0.jpg',1)
height = int(img.shape[0]*0.2)
width = int(img.shape[1]*0.2)
imgResize = cv2.resize(img,(width,height))
for i in range(0,height):
for j in range(0,width):
img[i+200,j+350] = imgResize[i,j]
cv2.imshow('src',img)
cv2.waitKey(0)