diff --git a/AlgorithmModule/include/ImgCheckAnalysisy.hpp b/AlgorithmModule/include/ImgCheckAnalysisy.hpp
index 834b9e9..74e4bc0 100644
--- a/AlgorithmModule/include/ImgCheckAnalysisy.hpp
+++ b/AlgorithmModule/include/ImgCheckAnalysisy.hpp
@@ -200,7 +200,7 @@ private:
     int BLobToDetResult();
 
     //自适应参数区域更新
-    int Adapt_Config(Mat img, Rect roi, bool b_update);
+    int Adapt_Config(Mat img, Rect roi, bool b_update, cv::RotatedRect &rot_cur_roi);
 
     std::shared_ptr<AIFactory> AI_Factory;
 
diff --git a/AlgorithmModule/src/ImgCheckAnalysisy.cpp b/AlgorithmModule/src/ImgCheckAnalysisy.cpp
index c13b81b..b5145e6 100644
--- a/AlgorithmModule/src/ImgCheckAnalysisy.cpp
+++ b/AlgorithmModule/src/ImgCheckAnalysisy.cpp
@@ -451,7 +451,7 @@ Point2f GetCoorPoint(Point2f point, Mat img_mat)
     return new_point;
 }
 
-int GetEdgeRoi(Mat img, Rect &new_roi, cv::RotatedRect &rotated_roi, float scale_x, float scale_y){ 
+int GetEdgeRoi(Mat img, Rect &new_roi, cv::RotatedRect &rotated_roi, float scale_x, float scale_y, string cur_channel){ 
 	if (img.empty())
     {
         return 1;
@@ -465,9 +465,22 @@ int GetEdgeRoi(Mat img, Rect &new_roi, cv::RotatedRect &rotated_roi, float scale
 
 	// 二值化找最大连通域
     Mat r_img_bin;
-    threshold(r_img, r_img_bin, 15, 255, THRESH_BINARY);
+	if(cur_channel == "BCA" || cur_channel == "BTA")
+	{
+		threshold(r_img, r_img_bin, 35, 255, THRESH_BINARY);
+	}
+	else
+	{
+		threshold(r_img, r_img_bin, 35, 255, THRESH_BINARY);
+	}
+	// 做一步开运算
+	Mat r_img_bin_close;
+	morphologyEx(r_img_bin, r_img_bin_close, MORPH_CLOSE, Mat::ones(15, 15, CV_8U));
+	// imwrite("r_img_bin.tif", r_img_bin);
+	// imwrite("r_img_bin_close.tif", r_img_bin_close);
+	// imwrite("r_img.tif", r_img);
     std::vector<std::vector<cv::Point>> contours;
-    cv::findContours(r_img_bin, contours, cv::RETR_EXTERNAL, cv::CHAIN_APPROX_SIMPLE);
+    cv::findContours(r_img_bin_close, contours, cv::RETR_EXTERNAL, cv::CHAIN_APPROX_SIMPLE);
     if (contours.empty())
     {
         return 2;
@@ -599,7 +612,7 @@ std::vector<cv::Point2f> sort_vertices(cv::RotatedRect rrect) {
     return vertices;
 }
 
-int ImgCheckAnalysisy::Adapt_Config(Mat img, Rect cur_roi, bool b_update){
+int ImgCheckAnalysisy::Adapt_Config(Mat img, Rect cur_roi, bool b_update, cv::RotatedRect &rot_cur_roi){
 	if (img.empty()) {
     	std::cerr << "Error: Input image 'img' is empty!" << std::endl;
     	return -1;
@@ -607,8 +620,8 @@ int ImgCheckAnalysisy::Adapt_Config(Mat img, Rect cur_roi, bool b_update){
 	if(!b_update){
 		return 1;
 	}
-	cv::RotatedRect rot_cur_roi;
-	int get_edge_roi = GetEdgeRoi(img, cur_roi, rot_cur_roi, 20, 20);
+	// cv::RotatedRect rot_cur_roi;
+	int get_edge_roi = GetEdgeRoi(img, cur_roi, rot_cur_roi, 20, 20, m_CheckResult_shareP->basicResult.strChannel);
 	if(get_edge_roi != 0){
 		return 2;
 	}
@@ -798,7 +811,11 @@ int ImgCheckAnalysisy::CheckRun()
 	m_strCurDetChannel = m_CheckResult_shareP->basicResult.strChannel;
 
 	/*自适应更新参数*/
-	Adapt_Config(m_CheckResult_shareP->in_shareImage->img, m_CutRoi, m_pbaseCheckFunction->markLine.badapt_region);
+	long time_adapt_s = CheckUtil::getcurTime();
+	cv::RotatedRect rot_cur_roi;
+	Adapt_Config(m_CheckResult_shareP->in_shareImage->img, m_CutRoi, m_pbaseCheckFunction->markLine.badapt_region, rot_cur_roi);
+	long time_adapt_e = CheckUtil::getcurTime();
+	m_pdetlog->AddCheckstr(PrintLevel_0, "Adapt_Config", "time = %ld", time_adapt_e - time_adapt_s);
 
 	// 2、参数检查
 	int rec = ConfigCheck(DetImgInfo_shareP->img);
@@ -811,14 +828,25 @@ int ImgCheckAnalysisy::CheckRun()
 	}
 	long time_edge_s = CheckUtil::getcurTime();
 	// 3、AI 边缘定位
-	int reedge = AI_Edge(m_CheckResult_shareP->in_shareImage->img, m_CutRoi);
-	if (reedge != 0)
+	if(m_CheckResult_shareP->basicResult.strChannel == "DCA" || m_CheckResult_shareP->basicResult.strChannel == "DTA")
 	{
-		m_pdetlog->AddCheckstr(PrintLevel_0, "Error", "AI_Edge is error type = %d", reedge);
-		m_nErrorCode = reedge;
-		m_nCheckResultErrorCode = m_nErrorCode;
-		return m_nErrorCode;
+		m_pdetlog->AddCheckstr(PrintLevel_0, "Edge", "Not Use AI_Edge %s", m_CheckResult_shareP->basicResult.strChannel.c_str());
+		m_CutRoi = cv::Rect(rot_cur_roi.boundingRect().x - 50 , rot_cur_roi.boundingRect().y - 50, rot_cur_roi.boundingRect().width + 100, rot_cur_roi.boundingRect().height + 100)
+		& cv::Rect(0, 0, m_CheckResult_shareP->in_shareImage->img.cols, m_CheckResult_shareP->in_shareImage->img.rows);
 	}
+	else
+	{
+		m_pdetlog->AddCheckstr(PrintLevel_0, "Edge", "Use AI_Edge %s", m_CheckResult_shareP->basicResult.strChannel.c_str());
+		int reedge = AI_Edge(m_CheckResult_shareP->in_shareImage->img, m_CutRoi);
+		if (reedge != 0)
+		{
+			m_pdetlog->AddCheckstr(PrintLevel_0, "Error", "AI_Edge is error type = %d", reedge);
+			m_nErrorCode = reedge;
+			m_nCheckResultErrorCode = m_nErrorCode;
+			return m_nErrorCode;
+		}
+	}
+
 	long time_edge_e = CheckUtil::getcurTime();
 	m_pdetlog->AddCheckstr(PrintLevel_0, "2、pre detect", "-------------------------AI_Edge------------succ---time %ld----\n", time_edge_e - time_edge_s);