opencv实现最大熵求解

最新推荐文章于 2024-08-05 17:27:55 发布

原创

最新推荐文章于 2024-08-05 17:27:55 发布 · 794 阅读

3 ·

CC 4.0 BY-SA版权

这篇博客详细介绍了如何利用OpenCV库在计算机视觉任务中应用最大熵模型进行求解，通过实例展示了具体步骤和实现过程。

摘要生成于 C知道，由 DeepSeek-R1 满血版支持，前往体验 >

#include<opencv2/imgproc/imgproc.hpp>
#include<opencv2/highgui/highgui.hpp>
#include<opencv2/core/core.hpp>
#include<iostream>
using namespace std;
using namespace cv;
//计算给定阈值下的熵
float calCurrentEntropy(Mat& hist, int threshold)
{
	float backgroundSum = 0, targetSum = 0;
	const float* pDataHist = (float*)hist.ptr<float>(0);
	for (int i = 0; i < 256; i++)
	{
		if (i < threshold)
		{
			backgroundSum += pDataHist[i];
		}
		else
			targetSum += pDataHist[i];
	}
	float backgroundEntropy = 0, targetEntropy = 0;
	for (int i = 0; i < 256; i++)
	{
		if (i < threshold)
		{
			if (pDataHist[i] == 0)
				continue;
			float ratio1 = pDataHist[i] / backgroundSum;
			backgroundEntropy += -ratio1*logf(ratio1);
		}
		else
		{
			if (pDataHist[i] == 0)
				continue;
			float ratio2 = pDataHist[i] / targetSum;
			targetEntropy += -ratio2*logf(ratio2);
		}
	}
	return (targetEntropy+backgroundEntropy);
}
//计算最大熵
Mat