OpenCV/Pythonで２値化

#!/usr/bin/env python
# -*- coding: utf-8 -*-

import cv2
import time

def conv():
    # 閾値の設定
    threshold = 100

    # 二値化(閾値100を超えた画素を255にする。)
    ret, img_thresh = cv2.threshold(img, threshold, 255, cv2.THRESH_BINARY)

    # 二値化画像の表示
    cv2.imshow("img_th", img_thresh)
    cv2.waitKey()
    cv2.destroyAllWindows()

def fps(video):
    fps = video.get(cv2.CAP_PROP_FPS)
    print("FPSの設定値、video.get(cv2.CAP_PROP_FPS) : {0}".format(fps))

    # 取得するフレームの数
    num_frames = 120

    print("取得中 {0} frames".format(num_frames))

    # 開始時間
    start = time.time()

    # フレームを取得する
    #for i in range(0, num_frames):
    #   ret, frame = video.read()

    # 終了時間
    end = time.time()

    # Time elapsed
    seconds = end - start
    print("経過時間: {0} seconds".format(seconds))

    # Calculate frames per second
    fps = num_frames / seconds
    print("計算したFPS : {0}".format(fps))

class FPS:
    def __init__(self):
        self.flag = False
        self.start = 0
        self.end = 0
        self.fps = 0
        self.framecnt = 0

    def calc_fps(self):
        if self.flag == False:
            self.start = time.time()
            self.flag = True        
        else:
            diff = time.time() - self.start
            if diff > 1.0:
                self.fps = self.framecnt / diff
                self.framecnt = 0
                self.start =  time.time()

        self.framecnt += 1
        return self.fps

def test1(mode):
    URL = "http://172.23.64.38:8081/?action=stream"
    winname ="winname"
    cv2.namedWindow(winname, cv2.WINDOW_NORMAL)

    try :
        if mode == 0:
            s_video = cv2.VideoCapture(0)
        else:
            s_video = cv2.VideoCapture(URL)


        # 閾値の設定
        threshold = 200
        fpsobj = FPS()

        while True:

            start = time.time()
            end = time.time()

            seconds = end - start

            ret, srcimg = s_video.read()
            #cv2.imshow(winname,img)
            key = cv2.waitKey(1) & 0xff
            if key == ord('q'): break

            # 二値化(閾値100を超えた画素を255にする。)
            #cv2.threshold(画像, 閾値, 閾値を超えた場合に変更する値, 二値化の方法)
            ret, img = cv2.threshold(srcimg, threshold, 255, cv2.THRESH_BINARY)

            ksize=7 # アパーチャーサイズ 3, 5, or 7 など 1 より大きい奇数。数値が大きいほどぼかしが出る。
            img = cv2.medianBlur(img,ksize)

            img = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)  # RGB2〜 でなく BGR2〜 を指定
            ret, img = cv2.threshold(img, 20, 255, cv2.THRESH_BINARY)


            #print("{}".format( fpsobj.calc_fps()))
            if ret:
                # 二値化画像の表示
                cv2.imshow(winname, img)
    except:
        pass

    cv2.destroyAllWindows()




if __name__ == "__main__":
    test1(1)

C++

#include <opencv2/core.hpp>
#include <opencv2/videoio.hpp>
#include <opencv2/highgui.hpp>
#include <iostream>
#include <stdio.h>

#include "opencv2/imgcodecs.hpp"
#include "opencv2/highgui.hpp"
#include "opencv2/imgproc.hpp"
#include "opencv2/photo.hpp"

//    http://labs.eecs.tottori-u.ac.jp/sd/Member/oyamada/OpenCV/html/py_tutorials/py_imgproc/py_thresholding/py_thresholding.html

        Mat dst;
        int criteria = 100;
        int max = 255;


        for ( ;;) {

            cap.read( frame );
            cv::threshold( frame, dst, criteria, max, THRESH_BINARY );       // binalized


            int ksize = 7;// # アパーチャーサイズ 3, 5, or 7 など 1 より大きい奇数。数値が大きいほどぼかしが出る。
            cv::medianBlur( dst, dst, ksize );

            cv::cvtColor( dst, dst, COLOR_BGR2GRAY );// # RGB2〜 でなく BGR2〜 を指定
            cv::threshold( dst, dst, 20, max, THRESH_BINARY );


            imshow( "Live", dst );
            if ( waitKey( 5 ) >= 0 ) {
                break;
            }
        }