下面直接贴代码
//灰度的阈值变换,实现opencv的threshold函数#include<opencv2/opencv.hpp>#include<iostream>#include<cassert>namespace mycv { enum ThresholdType
{ //详情参考https://docs.opencv.org/3.4.3/d7/d1b/group__imgproc__misc.html#gaa9e58d2860d4afa658ef70a9b1115576
THRESH_BINARY = 0,
THRESH_BINARY_INV = 1,
THRESH_TRUNC = 2,
THRESH_TOZERO = 3,
THRESH_TOZERO_INV = 4
}; void threshold(cv::Mat& input, cv::Mat& output, const uchar thresh = 128, const uchar max_val = 255, int type = 0);
}//mycvint main(){
cv::Mat img = cv::imread("lena.jpg", 0); if (img.empty()) return -1;
cv::Mat dst;
mycv::threshold(img, dst);
cv::imwrite("dst.bmp", dst);
cv::imshow("img", img);
cv::imshow("dst", dst);
cv::waitKey(0); return 0;
}void mycv::threshold(cv::Mat& input, cv::Mat& output, const uchar thresh, const uchar max_val, int type)
{
assert(1 == input.channels());
output = input.clone(); const int rows = input.rows;//行
const int cols = input.cols;//列
switch (type)//五种操作方式
{ case 0: for(int i = 0; i < rows; ++i) for (int j = 0; j < cols; ++j)
{ //THRESH_BINARY
if (input.at<uchar>(i, j) > thresh)
output.at<uchar>(i, j) = max_val; else
output.at<uchar>(i, j) = 0;
} break; case 1: for (int i = 0; i < rows; ++i) for (int j = 0; j < cols; ++j)
{ //THRESH_BINARY_INV
if (input.at<uchar>(i, j) < thresh)
output.at<uchar>(i, j) = max_val; else
output.at<uchar>(i, j) = 0;
} break; case 2: for (int i = 0; i < rows; ++i) for (int j = 0; j < cols; ++j)
{ //THRESH_TRUNC
if (input.at<uchar>(i, j) > thresh)
output.at<uchar>(i, j) = thresh; else
output.at<uchar>(i, j) = input.at<uchar>(i, j);
} break; case 3: for (int i = 0; i < rows; ++i) for (int j = 0; j < cols; ++j)
{ //THRESH_TOZERO
if (input.at<uchar>(i, j) < thresh)
output.at<uchar>(i, j) = input.at<uchar>(i, j); else
output.at<uchar>(i, j) = 0;
} break; case 4: for (int i = 0; i < rows; ++i) for (int j = 0; j < cols; ++j)
{ //THRESH_TOZERO_INV
if (input.at<uchar>(i, j) > thresh)
output.at<uchar>(i, j) = input.at<uchar>(i, j); else
output.at<uchar>(i, j) = 0;
} break; default:
assert(false);
}
}//threshold
作者:芒果浩明
链接:https://www.jianshu.com/p/313fd08dfc12
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