CNC高级模块的运行后的可视化

2026-05-19 13:11:47 +08:00
parent 80c86e2ed7
commit eb6ee48a5e
4 changed files with 147 additions and 1 deletions
@@ -207,12 +207,65 @@ public class VoidMeasurementProcessor : ImageProcessorBase
        OutputData["Voids"] = voids;
        OutputData["ResultText"] = $"Void: {voidRate:F1}% | {classification} | {voids.Count} voids | ROI: {roiArea}px";

+        // 渲染带标注的彩色结果图像
+        OutputData["RenderedResultImage"] = RenderAnnotatedResult(inputImage, voids, voidRate, voidLimit, classification);
+
        blurred.Dispose();
        voidImg.Dispose();
        roiMask.Dispose();

        return inputImage.Clone();
    }
+
+    /// <summary>
+    /// 渲染带标注的彩色结果图像（轮廓、编号、半透明填充、总览信息）
+    /// </summary>
+    private Image<Bgr, byte> RenderAnnotatedResult(Image<Gray, byte> grayImage, List<VoidRegionInfo> voids, double voidRate, double voidLimit, string classification)
+    {
+        var colorImage = new Image<Bgr, byte>(grayImage.Width, grayImage.Height);
+        CvInvoke.CvtColor(grayImage, colorImage, ColorConversion.Gray2Bgr);
+
+        if (voids.Count == 0)
+            return colorImage;
+
+        // 半透明气泡填充
+        var overlay = colorImage.Clone();
+        foreach (var v in voids)
+        {
+            if (v.ContourPoints.Length > 0)
+            {
+                using var vop = new VectorOfPoint(v.ContourPoints);
+                using var vvop = new VectorOfVectorOfPoint(vop);
+                CvInvoke.DrawContours(overlay, vvop, 0, new MCvScalar(0, 200, 255), -1);
+            }
+        }
+        CvInvoke.AddWeighted(overlay, 0.4, colorImage, 0.6, 0, colorImage);
+        overlay.Dispose();
+
+        // 绘制轮廓 + 编号
+        foreach (var v in voids)
+        {
+            if (v.ContourPoints.Length > 0)
+            {
+                using var vop = new VectorOfPoint(v.ContourPoints);
+                using var vvop = new VectorOfVectorOfPoint(vop);
+                CvInvoke.DrawContours(colorImage, vvop, 0, new MCvScalar(0, 255, 255), 1);
+            }
+            CvInvoke.PutText(colorImage, $"#{v.Index}",
+                new Point((int)v.CenterX - 8, (int)v.CenterY + 5),
+                FontFace.HersheySimplex, 0.35, new MCvScalar(255, 100, 0), 1);
+        }
+
+        // 左上角总览
+        var overallColor = classification == "PASS"
+            ? new MCvScalar(0, 255, 0) : new MCvScalar(0, 0, 255);
+        CvInvoke.PutText(colorImage,
+            $"Void: {voidRate:F1}% | Limit: {voidLimit:F0}% | {voids.Count} voids | {classification}",
+            new Point(10, 25),
+            FontFace.HersheySimplex, 0.5, overallColor, 2);
+
+        return colorImage;
+    }
 }

 /// <summary>