python+opencv图像分割实现分割不规则ROI区域方法汇总

# 定义四个顶点坐标
pts = np.array([[10, 5],  [50, 10], [70, 20], [20, 30]], np.int32)
# 顶点个数：4，矩阵变成4*1*2维
# OpenCV中需要将多边形的顶点坐标变成顶点数×1×2维的矩阵
# 这里 reshape 的第一个参数为-1, 表示“任意”，意思是这一维的值是根据后面的维度的计算出来的
pts = pts.reshape((-1, 1, 2))
cv2.polylines(img, [pts], True, (0, 255, 255))

kernel = cv2.getStructuringElement(cv2.MORPH_ELLIPSE, (10, 10))  # 矩形结构:MORPH_RECT
kernel1 = cv2.getStructuringElement(cv2.MORPH_RECT, (15, 15))  # 椭圆结构:MORPH_ELLIPSE
img = cv2.erode(img, kernel)  # 腐蚀 
img = cv2.dilate(img, kernel)  # 膨胀

    mask = cv2.cvtColor(img, cv2.COLOR_GRAY2BGR) #img是腐蚀膨胀完的图片
    ROI = cv2.bitwise_and(mask, oriimg) #oriimg是原始图片
    cv2.imshow('ROI',ROI)
    if cv2.waitKey(500) and 0xff == ord('q'):
        cv2.destroyAllWindows()

#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Wed May 29 19:18:28 2019
@author: youxinlin
"""
 
import cv2
import numpy as np
 
# -----------------------鼠标操作相关------------------------------------------
lsPointsChoose = []
tpPointsChoose = []
pointsCount = 0
count = 0
pointsMax = 6
def on_mouse(event, x, y, flags, param):
    global img, point1, point2, count, pointsMax
    global lsPointsChoose, tpPointsChoose  # 存入选择的点
    global pointsCount  # 对鼠标按下的点计数
    global img2, ROI_bymouse_flag
    img2 = 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ROI
        tpPointsChoose.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----------------
 
        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 = 0
        tpPointsChoose = []
        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)
 
    # -------------------------双击 结束选取-----------------------------
    if event == cv2.EVENT_LBUTTONDBLCLK: 
    # -----------绘制感兴趣区域-----------
        ROI_byMouse()
        ROI_bymouse_flag = 1
        lsPointsChoose = []
        
 
def ROI_byMouse():
    global src, ROI, ROI_flag, mask2
    mask = 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)
    image,contours, hierarchy = cv2.findContours(cv2.cvtColor(mask2, cv2.COLOR_BGR2GRAY), cv2.RETR_TREE, cv2.CHAIN_APPROX_NONE)
    ROIarea = cv2.contourArea(contours[0])
    print("ROIarea:",ROIarea)
    ROI = cv2.bitwise_and(mask2, img)
    cv2.imwrite('ROI.jpg', ROI)
    cv2.imshow('ROI', ROI)
 
img = cv2.imread('3.png')
# ---------------------------------------------------------
# --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)
cv2.destroyAllWindows()

'''
EVENT_FLAG_ALTKEY = 32  摁住Alt
EVENT_FLAG_CTRLKEY = 8  摁住Ctrl
EVENT_FLAG_LBUTTON = 1  摁住左键
EVENT_FLAG_MBUTTON = 4  摁住中键
EVENT_FLAG_RBUTTON = 2  摁住右键
EVENT_FLAG_SHIFTKEY = 16 摁住Shift
EVENT_LBUTTONDBLCLK = 7  左键双击
EVENT_LBUTTONDOWN = 1  左键击下
EVENT_LBUTTONUP = 4   左键弹起
EVENT_MBUTTONDBLCLK = 9  中键双击
EVENT_MBUTTONDOWN = 3  中键击下
EVENT_MBUTTONUP = 6   中键弹起
EVENT_MOUSEHWHEEL = 11  滚动条向左，flags>0。向右，flags<0
EVENT_MOUSEMOVE = 0   鼠标移动
EVENT_MOUSEWHEEL = 10  滚动条向上，flags>0。向下，flags<0
EVENT_RBUTTONDBLCLK = 8  中键双击
EVENT_RBUTTONDOWN = 2  中键击下
EVENT_RBUTTONUP = 5   中键弹起
'''