更改气泡筛选逻辑：按照面积筛选，去除小于设定面积的气泡重新计算空隙率更新结果图像

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;