ROI和泛洪填充

其他

发布时间 : 2021-01-02 15:19

阅读 :

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)
    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
    cv.floodFill(image, mask, (200, 200), (0,0, 255), cv.FLOODFILL_MASK_ONLY)
    cv.imshow('filled binary', image)

src = cv.imread('./0.png')  # blue, green, red
cv.namedWindow('input image', cv.WINDOW_AUTOSIZE)
cv.imshow('input image', src)
# fill_color_demo(src)
fill_binary()
'''
face = src[0:200, 150:350]
gray = cv.cvtColor(face, cv.COLOR_BGR2GRAY)
backface = cv.cvtColor(gray, cv.COLOR_GRAY2BGR)
src[0:200, 150:350] = backface
cv.imshow('face', src)
'''
cv.waitKey(0)

cv.destroyAllWindows()

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