implemented median_filter

tests for median_filter added

include/boost/gil/image_processing/filter.hpp

@@ -45,7 +45,12 @@ void box_filter(
     if (anchor == -1) anchor = static_cast<int>(kernel_size / 2);
     kernel_1d<float> kernel(kernel_values.begin(), kernel_size, anchor);
 
-    convolve_1d<pixel<float, typename SrcView::value_type::layout_t>>(src_view, kernel, dst_view, option);
+    convolve_1d<pixel<float, typename SrcView::value_type::layout_t>>(
+        src_view,
+        kernel,
+        dst_view,
+        option
+        );
 }
 
 template <typename SrcView, typename DstView>
@@ -60,6 +65,79 @@ void blur(
     box_filter(src_view, dst_view, kernel_size, anchor, true, option);
 }
 
+
+namespace detail
+{
+template <typename SrcView, typename DstView>
+void impl_median(
+    SrcView const& src_view,
+    DstView const& dst_view,
+    std::size_t kernel_size
+)
+{
+    std::size_t half_kernel_size = kernel_size / 2;
+
+    //deciding output channel type and creating functor
+    using src_channel_t = typename channel_type<SrcView>::type;
+
+    for (std::ptrdiff_t y = 0; y < src_view.height(); y++)
+    {
+        typename DstView::x_iterator dst_it = dst_view.row_begin(y);
+
+        for (std::ptrdiff_t x = 0; x < src_view.width(); x++)
+        {
+            auto sub_view = subimage_view(
+                src_view,
+                x - half_kernel_size, y - half_kernel_size,
+                kernel_size,
+                kernel_size
+            );
+            std::vector<src_channel_t> values(sub_view.begin(), sub_view.end());
+
+            std::nth_element(values.begin(), values.begin() + (values.size() / 2), values.end());
+            dst_it[x] = values[values.size() / 2];
+        }
+    }
+}
+} // namespace detail
+
+template <typename SrcView, typename DstView>
+void median_filter(
+    SrcView const& src_view,
+    DstView const& dst_view,
+    std::size_t kernel_size
+)
+{
+    static_assert(color_spaces_are_compatible
+    <
+        typename color_space_type<SrcView>::type,
+        typename color_space_type<DstView>::type
+    >::value, "Source and destination views must have pixels with the same color space");
+
+    std::size_t half_kernel_size = kernel_size / 2;
+    auto extended_img = extend_boundary(
+        src_view,
+        half_kernel_size,
+        boundary_option::extend_constant
+    );
+    auto extended_view = subimage_view(
+            view(extended_img),
+            half_kernel_size,
+            half_kernel_size,
+            src_view.width(),
+            src_view.height()
+        );
+
+    for (std::size_t channel = 0; channel < extended_view.num_channels(); channel++)
+    {
+        detail::impl_median(
+            nth_channel_view(extended_view, channel),
+            nth_channel_view(dst_view, channel),
+            kernel_size
+        );
+    }
+}
+
 }} //namespace boost::gil
 
 #endif // !BOOST_GIL_IMAGE_PROCESSING_FILTER_HPP

test/core/image_processing/CMakeLists.txt

@@ -32,7 +32,8 @@ foreach(_name
   simple_kernels
   harris
   hessian
-  box_filter)
+  box_filter
+  median_filter)
   set(_test t_core_image_processing_${_name})
   set(_target test_core_image_processing_${_name})
 

test/core/image_processing/Jamfile

@@ -22,3 +22,4 @@ run simple_kernels.cpp ;
 run harris.cpp ;
 run hessian.cpp ;
 run box_filter.cpp /boost/test//boost_unit_test_framework : : : <link>shared:<define>BOOST_TEST_DYN_LINK=1 ;
+run median_filter.cpp /boost/test//boost_unit_test_framework : : : <link>shared:<define>BOOST_TEST_DYN_LINK=1 ;

test/core/image_processing/median_filter.cpp

@@ -0,0 +1,65 @@
+//
+// Copyright 2019 Miral Shah <[email protected]>
+//
+// Use, modification and distribution are subject to the Boost Software License,
+// Version 1.0. (See accompanying file LICENSE_1_0.txt or copy at
+// http://www.boost.org/LICENSE_1_0.txt)
+//
+
+#define BOOST_TEST_MODULE test_image_processing_median_filter
+#include "unit_test.hpp"
+
+#include <boost/gil/image_view.hpp>
+#include <boost/gil/algorithm.hpp>
+#include <boost/gil/gray.hpp>
+#include <boost/gil/image_processing/filter.hpp>
+
+
+namespace gil = boost::gil;
+
+std::uint8_t img[] =
+{
+    183, 128, 181, 86,  34,  55, 134, 164,  15,
+    90,  59,  94, 158, 202,   0, 106, 120, 255,
+    65,  48,   4,  21,  21,  38,  50,  37, 228,
+    27, 245, 254, 164, 135, 192,  17, 241,  19,
+    56, 165, 253, 169,  24, 200, 249,  70, 199,
+    59,  84,  41,  96,  70,  58,  24,  20, 218,
+    235, 180,  12, 168, 224, 204, 166, 153,  1,
+    181, 213, 232, 178, 165, 253,  93, 214, 72,
+    171,  50,  20,  65,  67, 133, 249, 157, 105
+};
+
+std::uint8_t output[] =
+{
+    128, 128, 128, 94,  55,  55, 120, 134, 120,
+    90,  90,  86,  86,  38,  50,  55, 120, 164,
+    65,  65,  94, 135, 135,  50,  50, 106, 228,
+    56,  65, 165, 135, 135,  50,  70,  70, 199,
+    59,  84, 165, 135, 135,  70,  70,  70, 199,
+    84,  84, 165,  96, 168, 166, 153, 153, 153,
+    181, 180, 168, 165, 168, 165, 153,  93, 72,
+    181, 180, 168, 165, 168, 166, 166, 153, 105,
+    171, 171,  65,  67, 133, 133, 157, 157, 105
+};
+
+BOOST_AUTO_TEST_SUITE(filter)
+
+BOOST_AUTO_TEST_CASE(median_filter_with_kernel_size_3)
+{
+    gil::gray8c_view_t src_view =
+        gil::interleaved_view(9, 9, reinterpret_cast<const gil::gray8_pixel_t*>(img), 9);
+
+    gil::image<gil::gray8_pixel_t> temp_img(src_view.width(), src_view.height());
+    typename gil::image<gil::gray8_pixel_t>::view_t temp_view = view(temp_img);
+    gil::gray8_view_t dst_view(temp_view);
+
+    gil::median_filter(src_view, dst_view, 3);
+
+    gil::gray8c_view_t out_view =
+        gil::interleaved_view(9, 9, reinterpret_cast<const gil::gray8_pixel_t*>(output), 9);
+
+    BOOST_TEST(gil::equal_pixels(out_view, dst_view));
+}
+
+BOOST_AUTO_TEST_SUITE_END()