opencv-python学习笔记五：ROI和泛洪填充

import cv2 as cv
import numpy as np


def fill_color_demo(image):
    copyImg=image.copy()
    h,w=image.shape[:2]
    mask=np.zeros([h+2,w+2],np.uint8)
    # FLOODFILL_FIXED_RANGE 改变图像，泛洪填充 （30，30）点的像素值-(100,100,100)到（30，30）点的像素值+(50,50,50）区间
    # floodFill( 1.操作的图像, 2.掩模, 3.起始像素值，4.填充的颜色, 5.填充颜色的低值， 6.填充颜色的高值 ,7.填充的方法)
    cv.floodFill(copyImg,mask,(30,30),(0,255,255),(100,100,100),(50,50,50),cv.FLOODFILL_FIXED_RANGE)
    cv.imshow("fill_color_demo",copyImg)


def fill_binary():
    image=np.zeros([400,400,3],np.uint8)
    image[100:300,100:300,:]=255
    cv.imshow("fill_binary",image)

    mask=np.ones([402,402,1],np.uint8)
    mask[101:301,101:301]=0
    # FLOODFILL_MASK_ONLY不改变图像，只填充遮罩层本身，忽略新的颜色值参数 mask的指定的位置为零时才填充，不为零不填充
    cv.floodFill(image,mask,(200,200),(0,0,255),cv.FLOODFILL_MASK_ONLY)
    cv.imshow("filled binary",image)


src=cv.imread("D:/Documents/Desktop/lena.PNG")
cv.namedWindow("input image",cv.WINDOW_AUTOSIZE)
cv.imshow("input image",src)


# ROI 感兴趣区域 region of interest
# face=src[50:250,100:300]
# gray=cv.cvtColor(face,cv.COLOR_BGR2GRAY)
# backface=cv.cvtColor(gray,cv.COLOR_GRAY2BGR)
# src[50:250,100:300]=backface
# cv.imshow("face",src)


fill_color_demo(src)
# fill_binary()
cv.waitKey(0)

cv.destroyAllWindows()