python_opencv中的泛洪填充方法

• cv.FLOODFILL_FIXED_RANGE ———— 对图像进行泛洪填充
• cv.FLOODFILL_MASK_ONLY ———— 对mask进行填充

泛洪填充的一些简单介绍

常见的泛洪填充算法有四邻域像素填充，八邻域填充，基于扫描线的像素填充方法；同时又可以分为递归和非递归方法。

基于Python_opencv的代码实现

import cv2 as cv
import numpy as np

#基于彩色图像的泛洪填充
def flood_color_demo(image):
    copy_Image = image.copy()
    h , w =image.shape[:2]
    mask = np.zeros((h+2, w+2), dtype = np.uint8)
    cv.floodFill(copy_Image, mask, (100,100),(255,255,0),(100,100,100),(20,20,20),cv.FLOODFILL_FIXED_RANGE)
    cv.imshow("flood_color_demo",copy_Image)


def flood_binary_demo()
    image = np.zeros((400,400,3), dtype = np.uint8)
    image[100:300,100:300,3] = 255
    cv.imshow("image ", image)
    
    mask = np.ones((402,402,1), dtype=np.uint8)
    mask[101:301,101:301] = 0
    cv.floodFill(image,mask,(102,102),(255,255,0),cv.FLOODFILL_MASK_ONLY)
    cv.imshow("flood_binary_demo",image)
    


if __name__ == “__main__”:
    src = cv.imread("")
    cv.imshow("input_image",src)
    flood_color_demo(src)
    flood_binary_demo()
    cv.waitKey(0)
    cv.destroyAllWindows()

实现效果

image.png

image.png

image.png

image.png

cv.floodFill()参数介绍

cv.floodFill(image, mask, seedPoint, newVal, loDiff=None, upDiff=None, flags=None)

• image : Input/output 1- or 3-channel, 8-bit, or floating-point image.
  It is modified by the function unless the #FLOODFILL_MASK_ONLY flag is set in the second variant of the function.
• mask
• seedPoint：Starting point.
• newVal ：New value of the repainted domain pixels.
• loDiff : lower brightness/color difference between the currently observed pixel and one of its neighbors belonging to the component, or a seed pixel being added to the component.
• upDiff : upper brightness/color difference between the currently observed pixel and one of its neighbors belonging to the component, or a seed pixel being added to the component.
• flags : 官方介绍四邻域像素填充，八邻域填充方法。