python opencv detects and extracts target color
This time I will bring you python opencv detects and extracts the target color, python opencv detects and extracts the target color. What are the precautions? Here is a practical case, let’s take a look one time.
An example is shown below:
# -*- coding:utf-8 -*-
author = 'kingking'
version = '1.0'
date = '14/07/2017'
import cv2
import numpy as np
import time
if name == 'main':
Img = cv2.imread('example.png')#读入一幅图像
kernel_2 = np.ones((2,2),np.uint8)#2x2的卷积核
kernel_3 = np.ones((3,3),np.uint8)#3x3的卷积核
kernel_4 = np.ones((4,4),np.uint8)#4x4的卷积核
if Img is not None:#判断图片是否读入
HSV = cv2.cvtColor(Img, cv2.COLOR_BGR2HSV)#把BGR图像转换为HSV格式
'''
HSV模型中颜色的参数分别是：色调（H），饱和度（S），明度（V）
下面两个值是要识别的颜色范围
'''
Lower = np.array([20, 20, 20])#要识别颜色的下限
Upper = np.array([30, 255, 255])#要识别的颜色的上限
#mask是把HSV图片中在颜色范围内的区域变成白色，其他区域变成黑色
mask = cv2.inRange(HSV, Lower, Upper)
#下面四行是用卷积进行滤波
erosion = cv2.erode(mask,kernel_4,iterations = 1)
erosion = cv2.erode(erosion,kernel_4,iterations = 1)
dilation = cv2.dilate(erosion,kernel_4,iterations = 1)
dilation = cv2.dilate(dilation,kernel_4,iterations = 1)
#target是把原图中的非目标颜色区域去掉剩下的图像
target = cv2.bitwise_and(Img, Img, mask=dilation)
#将滤波后的图像变成二值图像放在binary中
ret, binary = cv2.threshold(dilation,127,255,cv2.THRESH_BINARY)
#在binary中发现轮廓，轮廓按照面积从小到大排列
contours, hierarchy = cv2.findContours(binary,cv2.RETR_EXTERNAL,cv2.CHAIN_APPROX_SIMPLE)
p=0
for i in contours:#遍历所有的轮廓
x,y,w,h = cv2.boundingRect(i)#将轮廓分解为识别对象的左上角坐标和宽、高
#在图像上画上矩形（图片、左上角坐标、右下角坐标、颜色、线条宽度）
cv2.rectangle(Img,(x,y),(x+w,y+h),(0,255,),3)
#给识别对象写上标号
font=cv2.FONT_HERSHEY_SIMPLEX
cv2.putText(Img,str(p),(x-10,y+10), font, 1,(0,0,255),2)#加减10是调整字符位置
p +=1
print '黄色方块的数量是',p,'个'#终端输出目标数量
cv2.imshow('target', target)
cv2.imshow('Mask', mask)
cv2.imshow("prod", dilation)
cv2.imshow('Img', Img)
cv2.imwrite('Img.png', Img)#将画上矩形的图形保存到当前目录
while True:
Key = chr(cv2.waitKey(15) & 255)
if Key == 'q':
cv2.destroyAllWindows()
breakOriginal image
Image saved after processing
I believe you have mastered it after reading the case in this article Method, for more exciting information, please pay attention to other related articles on the php Chinese website!
Recommended reading:
Implementation of python batch reading of images and storing them in the database
In Python3.5 in Window10 How to install opencv
The above is the detailed content of python opencv detects and extracts target color. For more information, please follow other related articles on the PHP Chinese website!
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