python
# -*- coding:utf-8 -*-
import cv2 as cv
def function():
img = cv.imread("../images/cat.jpg")
cv.imshow("cat_bgr", img)
#与直方图有关的图像处理转化到HSV比较好
img_hsv = cv.cvtColor(img, cv.COLOR_BGR2HSV)
cv.imshow("cat_hsv", img_hsv)
#和设备有关，Android相机拍出来的照片为yuv格式
img_yuv = cv.cvtColor(img, cv.COLOR_BGR2YUV)
cv.imshow("cat_yuv", img_yuv)
#做皮肤检测，根据一些颜色的区分比较好
img_ycrcb = cv.cvtColor(img, cv.COLOR_BGR2YCrCb)
cv.imshow("cat_ycrcb", img_ycrcb)
#下面演示cv.inRange函数，也可以看出HSV的一个应用
img1 = cv.imread("../images/aloeL.jpg")
cv.imshow("tree", img1)
hsv = cv.cvtColor(img1, cv.COLOR_BGR2HSV)
mask = cv.inRange(hsv, (35, 43, 46), (77, 255, 255))
cv.imshow("mask", mask)
function()
cv.waitKey(0)
cv.destroyAllWindows()
python中的新知识点
- cv.COLOR_BGR2YUV
- cv.COLOR_BGR2HSV
- cv.COLOR_BGR2CrCb
- cv.inRange()
c++
#include "all.h"
using namespace std;
using namespace cv;
void MyClass::day009() {
Mat img = read(PATH + "\\images\\cat.jpg");
Mat dst1, dst2, dst3, mask, hsv;
cvtColor(img, dst1, COLOR_BGR2HSV);
imshow("HSV", dst1);
cvtColor(img, dst2, COLOR_BGR2YCrCb);
imshow("CrCb", dst2);
cvtColor(img, dst3, COLOR_BGR2YUV);
imshow("YUV", dst3);
Mat img1 = read(PATH + "\\images\\tree.jpg");
cvtColor(img, hsv, COLOR_BGR2HSV);
inRange(hsv, Scalar(35, 43, 46), Scalar(99, 255, 255), mask);
imshow("mask", mask);
waitKey(0);
}
c++中新知识点
- COLOR_BGR2HSV
- COLOR_BGR2YCrCb
- COLOR_BGR2YUV
- inRange()
此处注意inRange函数中的参数，在Python和c++中的区别
