diff --git a/hgdriver/ImageProcess/ImageApplyAutoCrop.cpp b/hgdriver/ImageProcess/ImageApplyAutoCrop.cpp
index a453a90..c9bb4ee 100644
--- a/hgdriver/ImageProcess/ImageApplyAutoCrop.cpp
+++ b/hgdriver/ImageProcess/ImageApplyAutoCrop.cpp
@@ -175,7 +175,7 @@ void CImageApplyAutoCrop::autoCrop_desaskew_fillBlank(cv::Mat& src, cv::Mat& dst
 
 			cv::Mat temp_bgc;
 			cv::resize(resizeMat(boudingRect), temp_bgc, cv::Size(200, 200));
-			blankColor = hg::getBackGroundColor(temp_bgc, cv::Mat(), threshold);
+			blankColor = hg::getBackGroundColor(temp_bgc, cv::Mat(), 10);
 		}
 		else
 			blankColor = cv::Scalar::all(255);
@@ -186,7 +186,7 @@ void CImageApplyAutoCrop::autoCrop_desaskew_fillBlank(cv::Mat& src, cv::Mat& dst
 		if (isDesaskew)
 			dst = cv::Mat(cv::Size(rect.size), src.type(), blankColor);
 		else
-			dst = cv::Mat(rect.boundingRect().size(), src.type(), blankColor);
+			dst = cv::Mat(/*rect.boundingRect().size()*/ cv::boundingRect(maxContour).size(), src.type(), blankColor);
 	else
 		dst = cv::Mat(dHeight, dWidth, src.type(), blankColor);
 
@@ -234,6 +234,8 @@ void CImageApplyAutoCrop::autoCrop_desaskew_fillBlank(cv::Mat& src, cv::Mat& dst
 
 		dstROI = dst(cv::Rect((dst.cols - bounding.width) / 2, (dst.rows - bounding.height) / 2, bounding.width, bounding.height));
 		src(bounding).copyTo(dstROI);
+
+		//cv::imwrite("dst.bmp", dst);
 	}
 
 	if (isFillBlank)
@@ -258,7 +260,8 @@ void CImageApplyAutoCrop::autoCrop_desaskew_fillBlank(cv::Mat& src, cv::Mat& dst
 		}
 		else
 		{
-			cv::Rect bounding = rect.boundingRect();
+			//cv::Rect bounding = rect.boundingRect();
+			cv::Rect bounding = cv::boundingRect(maxContour);
 			srcTri[0] = cv::Point(bounding.x, bounding.br().y - 1);
 			srcTri[1] = cv::Point(bounding.x, bounding.y);
 			srcTri[2] = cv::Point(bounding.br().x - 1, bounding.y);
diff --git a/hgdriver/ImageProcess/ImageApplyAutoCrop.h b/hgdriver/ImageProcess/ImageApplyAutoCrop.h
index 8f940b0..da3b302 100644
--- a/hgdriver/ImageProcess/ImageApplyAutoCrop.h
+++ b/hgdriver/ImageProcess/ImageApplyAutoCrop.h
@@ -36,7 +36,8 @@
 				 2023/11/02 v1.6	 优化抗噪能力。采用自适应背景色二值化。
 				 2023/12/05 v1.6.1	 替换获取背景色方案；修复固定幅面裁切纠偏的坐标计算BUG。
 				 2023/12/06	v1.6.2	 修复固定幅面裁切纠偏的坐标计算BUG。
- * 版本号：v1.6.2
+				 2023/12/07 v1.6.3   修复无纠偏条件下，图像越界导致坐标计算错误的BUG。
+ * 版本号：v1.6.3
 
  * ====================================================
  */