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utils.hpp
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utils.hpp
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/* MIT License
*
* Copyright (c) 2019 - Folke Vesterlund
*
* Permission is hereby granted, free of charge, to any person obtaining a copy
* of this software and associated documentation files (the "Software"), to deal
* in the Software without restriction, including without limitation the rights
* to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
* copies of the Software, and to permit persons to whom the Software is
* furnished to do so, subject to the following conditions:
*
* The above copyright notice and this permission notice shall be included in all
* copies or substantial portions of the Software.
*
* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
* SOFTWARE.
*/
#ifndef UTILS_HPP_
#define UTILS_HPP_
namespace util{
// Compute mean of image data
unsigned int mean(const unsigned char* img, const int N){
unsigned int mean = 0;
for(int i = 0; i<N; i++){
mean += img[i];
}
mean /= N;
return mean;
}
// Apply a threshold on image on the CPU
void threshold(unsigned char* outputImg, unsigned char* inputImg, size_t mean, size_t N){
for (int i = 0; i < N; i++){
outputImg[i] = inputImg[i] > mean ? 255:0;
}
}
// Count the number of individual components
unsigned int countComponents(unsigned int* img, size_t N){
unsigned int components = 0;
for (int i = 0; i < N; i++){
// Each new component will have its root+1 as label
if (img[i] == i+1)
components ++;
}
return components;
}
// Convert image to cv::Mat and apply colour map for visualisation
cv::Mat postProc(unsigned int* img, size_t numCols, size_t numRows){
// Initilise a Mat to the correct size and all zeros
cv::Mat outputImg(numRows, numCols, CV_8UC1, cv::Scalar::all(0));
for (int i = 0; i < numRows; i++){
for(int j = 0; j< numCols; j++){
size_t idx = i * numCols + j;
if (img[idx] > 0){
// The background will 0, force all labels a bit away from zero
// to be able to visualise better
outputImg.at<uchar>(i,j) = img[idx]%240+15;
}
}
}
applyColorMap(outputImg, outputImg, cv::COLORMAP_JET);
return outputImg;
}
}
#endif /* UTILS_HPP_ */