python3+opencv生成不规则黑白mask

# -*- coding: utf-8 -*-
import cv2
import numpy as np# -----------------------鼠标操作相关------------------------------------------
lsPointsChoose = []
tpPointsChoose = []
pointsCount = 0
count = 0
pointsMax = 10
def on_mouse(event, x, y, flags, param):global img, point1, point2, count, pointsMaxglobal lsPointsChoose, tpPointsChoose  # 存入选择的点global pointsCount  # 对鼠标按下的点计数global img2, ROI_bymouse_flagimg2 = img.copy()  # 此行代码保证每次都重新再原图画  避免画多了# -----------------------------------------------------------#    count=count+1#    print("callback_count",count)# --------------------------------------------------------------if event == cv2.EVENT_LBUTTONDOWN:  # 左键点击pointsCount = pointsCount + 1# 感觉这里没有用？2018年8月25日20:06:42# 为了保存绘制的区域，画的点稍晚清零# if (pointsCount == pointsMax + 1):#     pointsCount = 0#     tpPointsChoose = []print('pointsCount:', pointsCount)point1 = (x, y)print (x, y)# 画出点击的点cv2.circle(img2, point1, 10, (0, 255, 0), 2)# 将选取的点保存到list列表里lsPointsChoose.append([x, y])  # 用于转化为darry 提取多边形ROItpPointsChoose.append((x, y))  # 用于画点# ----------------------------------------------------------------------# 将鼠标选的点用直线连起来print(len(tpPointsChoose))for i in range(len(tpPointsChoose) - 1):print('i', i)cv2.line(img2, tpPointsChoose[i], tpPointsChoose[i + 1], (0, 0, 255), 2)# ----------------------------------------------------------------------# ----------点击到pointMax时可以提取去绘图----------------if (pointsCount == pointsMax):# -----------绘制感兴趣区域-----------ROI_byMouse()ROI_bymouse_flag = 1lsPointsChoose = []cv2.imshow('src', img2)# -------------------------右键按下清除轨迹-----------------------------if event == cv2.EVENT_RBUTTONDOWN:  # 右键点击print("right-mouse")pointsCount = 0tpPointsChoose = []lsPointsChoose = []print(len(tpPointsChoose))for i in range(len(tpPointsChoose) - 1):print('i', i)cv2.line(img2, tpPointsChoose[i], tpPointsChoose[i + 1], (0, 0, 255), 2)cv2.imshow('src', img2)def ROI_byMouse():global src, ROI, ROI_flag, mask2mask = np.zeros(img.shape, np.uint8)pts = np.array([lsPointsChoose], np.int32)  # pts是多边形的顶点列表（顶点集）pts = pts.reshape((-1, 1, 2))# 这里 reshape 的第一个参数为-1, 表明这一维的长度是根据后面的维度的计算出来的。# OpenCV中需要先将多边形的顶点坐标变成顶点数×1×2维的矩阵，再来绘制# --------------画多边形---------------------mask = cv2.polylines(mask, [pts], True, (255, 255, 255))##-------------填充多边形---------------------mask2 = cv2.fillPoly(mask, [pts], (255, 255, 255))cv2.imshow('mask', mask2)cv2.imwrite('mask.jpg', mask2)ROI = cv2.bitwise_and(mask2, img)#cv2.imwrite('ROI.bmp', ROI)#cv2.imshow('ROI', ROI)# -----------------------定点ROI绘制，程序中未使用-------------------
def fixed_ROI():mask = np.zeros(img.shape, np.uint8)pts = np.array([[x1, y1], [x2, y2], [x3, y3], [x4, y4]], np.int32)  # 顶点集pts = pts.reshape((-1, 1, 2))mask = cv2.polylines(mask, [pts], True, (255, 255, 255))mask2 = cv2.fillPoly(mask, [pts], (255, 255, 255))cv2.imshow('mask', mask2)# cv2.imwrite('mask.bmp', mask2)# cv2.drawContours(mask,points,-1,(255,255,255),-1)ROI = cv2.bitwise_and(mask2, img)cv2.imshow('ROI', ROI)# cv2.imwrite('ROI.bmp', ROI)img = cv2.imread('yuantu.jpg')
# ---------------------------------------------------------
# --图像预处理，设置其大小
# height, width = img.shape[:2]
# size = (int(width * 0.3), int(height * 0.3))
# img = cv2.resize(img, size, interpolation=cv2.INTER_AREA)
# ------------------------------------------------------------
ROI = img.copy()
cv2.namedWindow('src')
cv2.setMouseCallback('src', on_mouse)
cv2.imshow('src', img)
cv2.waitKey(0)

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