diff --git a/mindspore/ccsrc/minddata/dataset/kernels/image/lite_cv/canny.cc b/mindspore/ccsrc/minddata/dataset/kernels/image/lite_cv/canny.cc
index eb5b9419f9..e03136c228 100644
--- a/mindspore/ccsrc/minddata/dataset/kernels/image/lite_cv/canny.cc
+++ b/mindspore/ccsrc/minddata/dataset/kernels/image/lite_cv/canny.cc
@@ -32,7 +32,7 @@
 namespace mindspore {
 namespace dataset {
 
-static void GetSobelKernel(float *kernel, int flag, int ksize) {
+static void GetSobelKernel(float *kernel, int flag, int ksize, double scale) {
   std::vector<float> buffer(ksize + 1);
   float *ptr = kernel;
 
@@ -70,12 +70,14 @@ static void GetSobelKernel(float *kernel, int flag, int ksize) {
     }
   }
 
+  scale = flag == 0 ? scale : 1.0;
   for (int i = 0; i < ksize; i++) {
-    ptr[i] = buffer[i];
+    ptr[i] = buffer[i] * scale;
   }
 }
 
-bool Sobel(const LiteMat &src, LiteMat &dst, int flag_x, int flag_y, int ksize, PaddBorderType pad_type) {  // NOLINT
+bool Sobel(const LiteMat &src, LiteMat &dst, int flag_x, int flag_y, int ksize, double scale,  // NOLINT
+           PaddBorderType pad_type) {
   if (src.IsEmpty() || src.data_type_ != LDataType::UINT8) {
     return false;
   }
@@ -92,8 +94,8 @@ bool Sobel(const LiteMat &src, LiteMat &dst, int flag_x, int flag_y, int ksize,
   kx.Init(ksize, 1, 1, LDataType::FLOAT32);
   ky.Init(1, ksize, 1, LDataType::FLOAT32);
 
-  GetSobelKernel(kx, flag_x, ksize);
-  GetSobelKernel(ky, flag_y, ksize);
+  GetSobelKernel(kx, flag_x, ksize, scale);
+  GetSobelKernel(ky, flag_y, ksize, scale);
 
   return ConvRowCol(src, kx, ky, dst, LDataType::FLOAT32, pad_type);
 }
@@ -106,6 +108,24 @@ static float GetEdge(const std::vector<float> &temp, int width, int height, int
   }
 }
 
+static float Round(float value) {
+  // rounding if the result is even
+  // eg. 1.5 -> 2, 2.5 -> 2
+  float rnd = round(value);
+  float rnd_l = floor(value);
+  float rnd_h = ceil(value);
+  if (value - rnd_l == 0.5) {
+    if (fmod(rnd, 2) == 0) {
+      return rnd;
+    } else if (value > 0) {
+      return rnd_l;
+    } else {
+      return rnd_h;
+    }
+  }
+  return rnd;
+}
+
 static void NonMaximumSuppression(const LiteMat &gx, const LiteMat &gy, LiteMat &edges, bool L2gradient) {  // NOLINT
   edges.Init(gx.width_, gx.height_, gx.channel_, gx.data_type_);
 
@@ -116,8 +136,8 @@ static void NonMaximumSuppression(const LiteMat &gx, const LiteMat &gy, LiteMat
   int size = gx.height_ * gx.width_;
   std::vector<float> temp(size);
   for (int i = 0; i < size; i++) {
-    float gx_value = gx_ptr[i];
-    float gy_value = gy_ptr[i];
+    float gx_value = Round(gx_ptr[i]);
+    float gy_value = Round(gy_ptr[i]);
     if (L2gradient) {
       temp[i] = sqrt(gx_value * gx_value + gy_value * gy_value);
     } else {
@@ -127,8 +147,8 @@ static void NonMaximumSuppression(const LiteMat &gx, const LiteMat &gy, LiteMat
 
   for (int y = 0; y < gx.height_; y++) {
     for (int x = 0; x < gx.width_; x++) {
-      float gx_value = gx_ptr[y * gx.width_ + x];
-      float gy_value = gy_ptr[y * gx.width_ + x];
+      float gx_value = Round(gx_ptr[y * gx.width_ + x]);
+      float gy_value = Round(gy_ptr[y * gx.width_ + x]);
 
       float gx_value_abs = std::abs(gx_value);
       float gy_value_abs = std::abs(gy_value);
@@ -242,9 +262,13 @@ bool Canny(const LiteMat &src, LiteMat &dst, double low_thresh, double high_thre
     dst.Init(src.width_, src.height_, src.channel_, src.data_type_);
   }
 
+  double scale = ksize == 7 ? 1 / 16.0 : 1.0;
+  low_thresh *= scale;
+  high_thresh *= scale;
+
   LiteMat gx, gy;
-  Sobel(src, gx, 1, 0, ksize, PaddBorderType::PADD_BORDER_REPLICATE);
-  Sobel(src, gy, 0, 1, ksize, PaddBorderType::PADD_BORDER_REPLICATE);
+  Sobel(src, gx, 1, 0, ksize, scale, PaddBorderType::PADD_BORDER_REPLICATE);
+  Sobel(src, gy, 0, 1, ksize, scale, PaddBorderType::PADD_BORDER_REPLICATE);
 
   LiteMat edges;
   NonMaximumSuppression(gx, gy, edges, L2gradient);
diff --git a/mindspore/ccsrc/minddata/dataset/kernels/image/lite_cv/image_process.h b/mindspore/ccsrc/minddata/dataset/kernels/image/lite_cv/image_process.h
index 08f4820d4c..8526c282a7 100644
--- a/mindspore/ccsrc/minddata/dataset/kernels/image/lite_cv/image_process.h
+++ b/mindspore/ccsrc/minddata/dataset/kernels/image/lite_cv/image_process.h
@@ -148,7 +148,8 @@ bool ConvRowCol(const LiteMat &src, const LiteMat &kx, const LiteMat &ky, LiteMa
                 PaddBorderType pad_type = PaddBorderType::PADD_BORDER_DEFAULT);
 
 /// \brief Filter the image by a Sobel kernel
-bool Sobel(const LiteMat &src, LiteMat &dst, int flag_x, int flag_y, int ksize, PaddBorderType pad_type);
+bool Sobel(const LiteMat &src, LiteMat &dst, int flag_x, int flag_y, int ksize = 3, double scale = 1.0,
+           PaddBorderType pad_type = PaddBorderType::PADD_BORDER_DEFAULT);
 
 /// \brief Convert RGB image or color image to grayscale image
 bool ConvertRgbToGray(const LiteMat &src, LDataType data_type, int w, int h, LiteMat &mat);
diff --git a/tests/ut/cpp/dataset/image_process_test.cc b/tests/ut/cpp/dataset/image_process_test.cc
index 5e024fdb04..0539f66cac 100644
--- a/tests/ut/cpp/dataset/image_process_test.cc
+++ b/tests/ut/cpp/dataset/image_process_test.cc
@@ -1595,6 +1595,35 @@ TEST_F(MindDataImageProcess, TestCannySize5) {
   EXPECT_EQ(distance, 0.0f);
 }
 
+TEST_F(MindDataImageProcess, TestCannySize7) {
+  std::string filename = "data/dataset/apple.jpg";
+  cv::Mat src_image = cv::imread(filename, cv::ImreadModes::IMREAD_COLOR);
+  cv::Mat gray_image;
+  cv::cvtColor(src_image, gray_image, CV_BGR2GRAY);
+  cv::Mat dst_image;
+  cv::Canny(gray_image, dst_image, 110, 220, 7);
+
+  cv::Mat rgba_mat;
+  cv::cvtColor(src_image, rgba_mat, CV_BGR2RGBA);
+  bool ret = false;
+  LiteMat lite_mat_gray;
+  ret =
+    InitFromPixel(rgba_mat.data, LPixelType::RGBA2GRAY, LDataType::UINT8, rgba_mat.cols, rgba_mat.rows, lite_mat_gray);
+  ASSERT_TRUE(ret == true);
+
+  LiteMat lite_mat_dst;
+  ret = Canny(lite_mat_gray, lite_mat_dst, 110, 220, 7);
+  ASSERT_TRUE(ret == true);
+
+  int total_size = lite_mat_dst.height_ * lite_mat_dst.width_ * lite_mat_dst.channel_;
+  double distance = 0.0f;
+  for (int i = 0; i < total_size; i++) {
+    distance += pow((uint8_t)dst_image.data[i] - ((uint8_t *)lite_mat_dst)[i], 2);
+  }
+  distance = sqrt(distance / total_size);
+  EXPECT_EQ(distance, 0.0f);
+}
+
 TEST_F(MindDataImageProcess, TestCannyL2) {
   std::string filename = "data/dataset/apple.jpg";
   cv::Mat src_image = cv::imread(filename, cv::ImreadModes::IMREAD_COLOR);
@@ -1689,8 +1718,8 @@ TEST_F(MindDataImageProcess, TestSobel) {
   ASSERT_TRUE(ret == true);
   LiteMat lite_mat_x;
   LiteMat lite_mat_y;
-  Sobel(lite_mat_gray, lite_mat_x, 1, 0, 3, PaddBorderType::PADD_BORDER_REPLICATE);
-  Sobel(lite_mat_gray, lite_mat_y, 0, 1, 3, PaddBorderType::PADD_BORDER_REPLICATE);
+  Sobel(lite_mat_gray, lite_mat_x, 1, 0, 3, 1, PaddBorderType::PADD_BORDER_REPLICATE);
+  Sobel(lite_mat_gray, lite_mat_y, 0, 1, 3, 1, PaddBorderType::PADD_BORDER_REPLICATE);
   ASSERT_TRUE(ret == true);
 
   cv::Mat dst_imageX(lite_mat_x.height_, lite_mat_x.width_, CV_32FC1, lite_mat_x.data_ptr_);
@@ -1731,7 +1760,7 @@ TEST_F(MindDataImageProcess, TestSobelFlag) {
     InitFromPixel(rgba_mat.data, LPixelType::RGBA2GRAY, LDataType::UINT8, rgba_mat.cols, rgba_mat.rows, lite_mat_gray);
   ASSERT_TRUE(ret == true);
   LiteMat lite_mat_x;
-  Sobel(lite_mat_gray, lite_mat_x, 3, 1, 5, PaddBorderType::PADD_BORDER_REPLICATE);
+  Sobel(lite_mat_gray, lite_mat_x, 3, 1, 5, 1, PaddBorderType::PADD_BORDER_REPLICATE);
   ASSERT_TRUE(ret == true);
 
   cv::Mat dst_imageX(lite_mat_x.height_, lite_mat_x.width_, CV_32FC1, lite_mat_x.data_ptr_);