Merge pull request #3824 from CodeLinaro:FastcvHAL_1stPost

Depends on https://github.com/opencv/opencv/pull/26316

### Pull Request Readiness Checklist

See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request

- [x] I agree to contribute to the project under Apache 2 License.
- [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV
- [ ] The PR is proposed to the proper branch
- [ ] There is a reference to the original bug report and related work
- [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable
      Patch to opencv_extra has the same branch name.
- [ ] The feature is well documented and sample code can be built with the project CMake

modules/fastcv/perf/perf_mser.cpp

@@ -0,0 +1,70 @@
+/*
+ * Copyright (c) 2024 Qualcomm Innovation Center, Inc. All rights reserved.
+ * SPDX-License-Identifier: Apache-2.0
+*/
+
+#include "perf_precomp.hpp"
+
+namespace opencv_test {
+
+// we use such nested structure to combine test values
+typedef std::tuple< std::tuple<bool /* useBboxes */, bool /* useContourData */>,
+                    int  /* numNeighbors */, std::string /*file path*/> MSERPerfParams;
+typedef perf::TestBaseWithParam<MSERPerfParams> MSERPerfTest;
+
+PERF_TEST_P(MSERPerfTest, run,
+    ::testing::Combine(::testing::Values(std::tuple<bool, bool> { true, false},
+                                         std::tuple<bool, bool> {false, false},
+                                         std::tuple<bool, bool> { true,  true}
+                                        ), // useBboxes, useContourData
+                       ::testing::Values(4, 8), // numNeighbors
+                       ::testing::Values("cv/shared/baboon.png", "cv/mser/puzzle.png")
+                      )
+           )
+{
+    auto p = GetParam();
+    bool useBboxes      = std::get<0>(std::get<0>(p));
+    bool useContourData = std::get<1>(std::get<0>(p));
+    int  numNeighbors   =             std::get<1>(p); // 4 or 8
+    std::string imgPath =             std::get<2>(p);
+
+    cv::Mat src = imread(cvtest::findDataFile(imgPath), cv::IMREAD_GRAYSCALE);
+
+    unsigned int delta = 2;
+    unsigned int minArea = 256;
+    unsigned int maxArea = (int)src.total()/4;
+    float        maxVariation = 0.15f;
+    float        minDiversity = 0.2f;
+
+    while(next())
+    {
+        std::vector<std::vector<Point>> contours;
+        std::vector<cv::Rect> bboxes;
+        std::vector<cv::fastcv::ContourData> contourData;
+
+        startTimer();
+        if (useBboxes)
+        {
+            if (useContourData)
+            {
+                cv::fastcv::MSER(src, contours, bboxes, contourData, numNeighbors,
+                                 delta, minArea, maxArea, maxVariation, minDiversity);
+            }
+            else
+            {
+                cv::fastcv::MSER(src, contours, bboxes, numNeighbors,
+                                 delta, minArea, maxArea, maxVariation, minDiversity);
+            }
+        }
+        else
+        {
+            cv::fastcv::MSER(src, contours, numNeighbors,
+                             delta, minArea, maxArea, maxVariation, minDiversity);
+        }
+        stopTimer();
+    }
+
+    SANITY_CHECK_NOTHING();
+}
+
+} // namespace