Opencv中cv2.floodFill算法的使用

cv2.floodFill(img,mask,seed,newvalue(BGR),(loDiff1,loDiff2,loDiff3),(upDiff1,upDiff2,upDiff3),flag)

#泛洪填充(彩色图像填充)
import cv2
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)   #mask必须行和列都加2，且必须为uint8单通道阵列
    #为什么要加2可以这么理解：当从0行0列开始泛洪填充扫描时，mask多出来的2可以保证扫描的边界上的像素都会被处理
    cv.floodFill(copyImg, mask, (220, 250), (0, 255, 255), (100, 100, 100), (50, 50 ,50), cv.FLOODFILL_FIXED_RANGE)
    cv.imshow("fill_color_demo", copyImg)
 
src = cv.imread('E:/imageload/baboon.jpg')
cv.namedWindow('input_image', cv.WINDOW_AUTOSIZE)
cv.imshow('input_image', src)
fill_color_demo(src)
cv.waitKey(0)
cv.destroyAllWindows()

cv2.floodFill(initial_car,mask,(seed_x,seed_y),(255,0,0),(loDiff,loDiff,loDiff),(upDiff,upDiff,upDiff),flag)
 
points = []
row,column = mask.shape
 
for i in range(row):
    for j in range(column):
        if mask[i][j]==255:
           points.append((j,i))   #点应该输入点坐标（列，行）
points = np.asarray(points)
new_rect = cv2.minAreaRect(points)