diff --git a/AlgorithmModule/src/ImgCheckAnalysisy.cpp b/AlgorithmModule/src/ImgCheckAnalysisy.cpp
index a772f81..436134c 100644
--- a/AlgorithmModule/src/ImgCheckAnalysisy.cpp
+++ b/AlgorithmModule/src/ImgCheckAnalysisy.cpp
@@ -1771,6 +1771,10 @@ int ImgCheckAnalysisy::GetBLob_YX()
 	cv::findContours(erodedImage, contours, RETR_EXTERNAL, CHAIN_APPROX_SIMPLE);
 	int nresult = 0;
 
+	// 将 mask 一次性 resize 到 detImg 尺寸，避免循环内反复 resize
+	cv::Mat maskImg;
+	cv::resize(erodedImage, maskImg, cv::Size(m_pImageAllResult->detImg.cols, m_pImageAllResult->detImg.rows), 0, 0, cv::INTER_AREA);
+
 	for (size_t i = 0; i < contours.size(); ++i)
 	{
 
@@ -1788,7 +1792,15 @@ int ImgCheckAnalysisy::GetBLob_YX()
 
 		roi.y *= fy_src;
 		roi.height *= fy_src;
-		float len = std::sqrt(roi.width * roi.width + roi.height * roi.height);
+
+		//  精确计算长度
+		float re_len = Cal_QXLen(maskImg(roi), config_qx_type, fx_src, fy_src);
+
+		cv::Scalar result = calc_blob_info_withstats(m_pImageAllResult->detImg, maskImg, roi);
+
+		double min_val, max_val;
+		cv::Point min_loc, max_loc;
+		cv::minMaxLoc(m_pImageAllResult->detImg(roi), &min_val, &max_val, &min_loc, &max_loc);
 
 		if (true)
 		{
@@ -1798,12 +1810,12 @@ int ImgCheckAnalysisy::GetBLob_YX()
 			temerror.area = area;
 			temerror.JudgArea = judgeArea;
 			temerror.JudgArea_second = judgeArea;
-			temerror.energy = area * fx_src * fy_src;
-			temerror.flen = len;
+			temerror.energy = result[1];
+			temerror.flen = re_len;
 			temerror.nconfig_qx_type = config_qx_type;
 			temerror.qx_name = qx_name;
-			temerror.maxValue = 0;
-			temerror.grayDis = 0;
+			temerror.maxValue = max_val;
+			temerror.grayDis = result[2];
 			temerror.density = 0;
 			temerror.fUpIou = 0;