From 0b560105363e054f3a299435a9d19697094cc81c Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?=E6=9D=8E=E4=BC=9F?= <wei.lw.li@hexagon.com>
Date: Thu, 30 Apr 2026 09:22:50 +0800
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---
 .../检测分析/BgaVoidRateProcessor.cs                      | 8 ++++++--
 1 file changed, 6 insertions(+), 2 deletions(-)

diff --git a/XP.ImageProcessing.Processors/检测分析/BgaVoidRateProcessor.cs b/XP.ImageProcessing.Processors/检测分析/BgaVoidRateProcessor.cs
index d78fae9..450d0f1 100644
--- a/XP.ImageProcessing.Processors/检测分析/BgaVoidRateProcessor.cs
+++ b/XP.ImageProcessing.Processors/检测分析/BgaVoidRateProcessor.cs
@@ -333,14 +333,13 @@ public class BgaVoidRateProcessor : ImageProcessorBase
         }
 
         int voidPixels = CvInvoke.CountNonZero(voidImg);
-        bga.VoidPixels = voidPixels;
-        bga.VoidRate = bgaPixels > 0 ? (double)voidPixels / bgaPixels * 100.0 : 0;
 
         // 检测每个气泡的轮廓
         using var contours = new VectorOfVectorOfPoint();
         using var hierarchy = new Mat();
         CvInvoke.FindContours(voidImg, contours, hierarchy, RetrType.External, ChainApproxMethod.ChainApproxSimple);
 
+        int filteredVoidArea = 0;
         for (int i = 0; i < contours.Size; i++)
         {
             double area = CvInvoke.ContourArea(contours[i]);
@@ -349,6 +348,7 @@ public class BgaVoidRateProcessor : ImageProcessorBase
             var moments = CvInvoke.Moments(contours[i]);
             if (moments.M00 < 1) continue;
 
+            filteredVoidArea += (int)Math.Round(area);
             bga.Voids.Add(new VoidInfo
             {
                 Index = bga.Voids.Count + 1,
@@ -361,6 +361,10 @@ public class BgaVoidRateProcessor : ImageProcessorBase
             });
         }
 
+        // 空隙率基于过滤后的轮廓面积计算
+        bga.VoidPixels = filteredVoidArea;
+        bga.VoidRate = bgaPixels > 0 ? (double)filteredVoidArea / bgaPixels * 100.0 : 0;
+
         // 按面积从大到小排序
         bga.Voids.Sort((a, b) => b.Area.CompareTo(a.Area));
         for (int i = 0; i < bga.Voids.Count; i++) bga.Voids[i].Index = i + 1;