Python+OpenCV（五）——ROI和泛洪填充

学习视频：python+opencv3.3视频教学基础入门
其他学习记录：
Python+OpenCV（一）——基础操作
 Python+OpenCV（二）——Numpy模块
 Python+OpenCV（三）——色彩空间
 Python+OpenCV（四）——像素运算
源码如下：

# -*- coding = utf-8 -*-
# @Time : 2021/7/31 19:34
# @Author : 西兰花
# @File : OpenCV02.py
# @Software : PyCharm


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_demo():
    image = np.zeros([400, 400, 3], np.uint8)
    image[100:300, 100:300, :] = 255
    cv.imshow("fill_binary_demo----before", image)

    mask = np.ones([402, 402, 1], np.uint8)
    mask[101:301, 101:301, :] = 0   # 此处mask[]必须为0，若·不为0，则FLOODFILL_MASK_ONLY函数将不进行任何填充
    cv.floodFill(image, mask, (200, 200), (0, 0, 255), cv.FLOODFILL_MASK_ONLY)
    cv.imshow("fill_binary_demo----after", image)


print("------ Hello OpenCV ------")
src = cv.imread("C:/Users/Administrator/Pictures/PS/11.png")    # 读取色彩空间默认为blue，green，red3个通道
cv.imshow("image_11.png", src)

# test = src[10:130, 10:220]  # 框选ROI区
# gray = cv.cvtColor(test, cv.COLOR_RGB2GRAY)  # 对ROI区进行灰度处理
# backtest = cv.cvtColor(gray, cv.COLOR_GRAY2BGR)
# src[10:130, 10:220] = backtest     #将处理过的ROI区放回原图中
# cv.imshow("test", src)
# fill_color_demo(src)
fill_binary_demo()

cv.waitKey(0)

cv.destroyAllWindows()  # 销毁/关闭所有窗口