diff --git a/ocr/src/test/java/com/ccsens/orc/test/OrcTest.java b/ocr/src/test/java/com/ccsens/orc/test/OrcTest.java
index 053a9eff..4d4a73ec 100644
--- a/ocr/src/test/java/com/ccsens/orc/test/OrcTest.java
+++ b/ocr/src/test/java/com/ccsens/orc/test/OrcTest.java
@@ -24,21 +24,37 @@ public class OrcTest {
 //        Mat hello = Mat.eye(3,3, CvType.CV_8UC1);
 //        System.out.println(hello.dump());
         //加载图片
-//        Mat mat = Imgcodecs.imread("D:\\img\\0df7f58ea9d3a61019596094eb35003.png");
+        Mat mat = Imgcodecs.imread("D:\\img\\0df7f58ea9d3a61019596094eb35003.png");
         // 加载图片并灰度图像
-        Mat mat = Imgcodecs.imread("D:\\img\\0df7f58ea9d3a61019596094eb35003.png", Imgcodecs.IMREAD_GRAYSCALE);
+//        Mat mat = Imgcodecs.imread("D:\\img\\0df7f58ea9d3a61019596094eb35003.png", Imgcodecs.IMREAD_GRAYSCALE);
 //        System.out.println(mat.width() + "*" + mat.height() + "," + mat.type());
-        System.out.println(mat);
+//        System.out.println(mat);
         // 输出图片
 //        Imgcodecs.imwrite("D:\\img\\1.png", mat);
         // 截取图像
-        Mat submat = mat.submat(50, 300, 60, 250);
+//        Mat submat = mat.submat(50, 300, 60, 250);
 //        Imgcodecs.imwrite("D:\\img\\1.png", submat);
         // 模糊图片 模糊子图片后，父模块也跟着模糊了
-        Imgproc.blur(submat, submat, new Size(25.0,25.0));
-        System.out.println(submat);
-        Imgcodecs.imwrite("D:\\img\\blur.png", mat);
-
+//        Imgproc.blur(submat, submat, new Size(25.0,25.0));
+//        System.out.println(submat);
+//        Imgcodecs.imwrite("D:\\img\\blur.png", mat);
+        // 黑白化
+        Imgproc.cvtColor(mat, mat, Imgproc.COLOR_RGB2GRAY);
+        /*
+            高亮显示轮廓
+            ■源矩阵
+            ■目标矩阵
+            ■低阈值，使用150.0
+            ■高阈值，通常是低阈值的2倍或3倍
+            ■光圈，3～7之间的一个奇数，我们使用3。光圈值越大，被检测到的轮廓越多
+            ■L2梯度，暂时设置为true
+         */
+        Imgproc.Canny(mat, mat, 150,300,5, true);
+        // 反色操作
+        Core.bitwise_not(mat, mat);
+        // 将反色结果作为掩膜
+        Mat target = new Mat(mat.height(), mat.width(), CvType.CV_8UC3);
 
+        Imgcodecs.imwrite("D:\\img\\1.png", mat);
     }
 }