diff --git a/tests/validation/fixtures/CannyEdgeFixture.h b/tests/validation/fixtures/CannyEdgeFixture.h
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+++ b/tests/validation/fixtures/CannyEdgeFixture.h
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+/*
+ * Copyright (c) 2017-2018 ARM Limited.
+ *
+ * SPDX-License-Identifier: MIT
+ *
+ * Permission is hereby granted, free of charge, to any person obtaining a copy
+ * of this software and associated documentation files (the "Software"), to
+ * deal in the Software without restriction, including without limitation the
+ * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
+ * sell copies of the Software, and to permit persons to whom the Software is
+ * furnished to do so, subject to the following conditions:
+ *
+ * The above copyright notice and this permission notice shall be included in all
+ * copies or substantial portions of the Software.
+ *
+ * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+ * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+ * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+ * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+ * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+ * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+ * SOFTWARE.
+ */
+#ifndef ARM_COMPUTE_TEST_CANNY_EDGE_FIXTURE
+#define ARM_COMPUTE_TEST_CANNY_EDGE_FIXTURE
+
+#include "arm_compute/core/TensorShape.h"
+#include "arm_compute/core/Types.h"
+#include "tests/AssetsLibrary.h"
+#include "tests/Globals.h"
+#include "tests/framework/Asserts.h"
+#include "tests/framework/Fixture.h"
+#include "tests/validation/Helpers.h"
+#include "tests/validation/reference/CannyEdgeDetector.h"
+
+namespace arm_compute
+{
+class CLCannyEdge;
+class NECannyEdge;
+
+namespace test
+{
+namespace validation
+{
+template <typename TensorType, typename AccessorType, typename ArrayType, typename FunctionType, typename T>
+class CannyEdgeValidationFixture : public framework::Fixture
+{
+public:
+    template <typename...>
+    void setup(std::string image, int gradient_size, MagnitudeType norm_type, BorderMode border_mode, bool use_fp16, Format format)
+    {
+        CannyEdgeParameters params = canny_edge_parameters();
+
+        _target = compute_target(image, gradient_size, norm_type, border_mode, use_fp16, format, params);
+        //TODO(COMPMID-543): Add use_fp16 to reference
+        _reference = compute_reference(image, gradient_size, norm_type, border_mode, format, params);
+    }
+
+protected:
+    template <typename U>
+    void fill(U &&tensor, RawTensor raw)
+    {
+        library->fill(tensor, raw);
+    }
+
+    template <typename F, typename std::enable_if<std::is_same<F, NECannyEdge>::value, int>::type = 0>
+    void configure_target(F &func, TensorType &src, TensorType &dst, int gradient_size, int norm_type, BorderMode border_mode, bool use_fp16, const CannyEdgeParameters &params)
+    {
+        func.configure(&src, &dst, params.upper_thresh, params.lower_thresh, gradient_size, norm_type, border_mode, params.constant_border_value, use_fp16);
+    }
+
+    template <typename F, typename std::enable_if<std::is_same<F, CLCannyEdge>::value, int>::type = 0>
+    void configure_target(F &func, TensorType &src, TensorType &dst, int gradient_size, int norm_type, BorderMode border_mode, bool use_fp16, const CannyEdgeParameters &params)
+    {
+        ARM_COMPUTE_UNUSED(use_fp16);
+        ARM_COMPUTE_ERROR_ON(use_fp16);
+        func.configure(&src, &dst, params.upper_thresh, params.lower_thresh, gradient_size, norm_type, border_mode, params.constant_border_value);
+    }
+
+    TensorType compute_target(const std::string &image, int gradient_size, MagnitudeType norm_type, BorderMode border_mode, bool use_fp16, Format format, const CannyEdgeParameters &params)
+    {
+        // Load the image (cached by the library if loaded before)
+        const RawTensor &raw = library->get(image, format);
+
+        // Create tensors
+        TensorType src = create_tensor<TensorType>(raw.shape(), format);
+        TensorType dst = create_tensor<TensorType>(raw.shape(), format);
+        src.info()->set_format(format);
+        dst.info()->set_format(format);
+
+        // Create Canny edge configure function
+        FunctionType canny_edge;
+        configure_target<FunctionType>(canny_edge, src, dst, gradient_size, static_cast<int>(norm_type) + 1, border_mode, use_fp16, params);
+
+        ARM_COMPUTE_EXPECT(src.info()->is_resizable(), framework::LogLevel::ERRORS);
+        ARM_COMPUTE_EXPECT(dst.info()->is_resizable(), framework::LogLevel::ERRORS);
+
+        // Allocate tensors
+        src.allocator()->allocate();
+        dst.allocator()->allocate();
+
+        ARM_COMPUTE_EXPECT(!src.info()->is_resizable(), framework::LogLevel::ERRORS);
+        ARM_COMPUTE_EXPECT(!dst.info()->is_resizable(), framework::LogLevel::ERRORS);
+
+        // Fill tensors
+        fill(AccessorType(src), raw);
+
+        // Compute function
+        canny_edge.run();
+
+        return dst;
+    }
+
+    SimpleTensor<T> compute_reference(const std::string &image, int gradient_size, MagnitudeType norm_type, BorderMode border_mode, Format format, const CannyEdgeParameters &params)
+    {
+        ARM_COMPUTE_ERROR_ON(format != Format::U8);
+
+        // Load the image (cached by the library if loaded before)
+        const RawTensor &raw = library->get(image, format);
+
+        // Create reference
+        SimpleTensor<T> src{ raw.shape(), format };
+
+        // Fill reference
+        fill(src, raw);
+
+        return reference::canny_edge_detector<T>(src, params.upper_thresh, params.lower_thresh, gradient_size, norm_type, border_mode, params.constant_border_value);
+    }
+
+    TensorType      _target{};
+    SimpleTensor<T> _reference{};
+};
+} // namespace validation
+} // namespace test
+} // namespace arm_compute
+#endif /* ARM_COMPUTE_TEST_CANNY_EDGE_FIXTURE */