Added all standard morphological transformations (#541)

* Added all standard morphological transformations

* Improved comments and some other things

* Applied adviced changes

* Applied adviced changes

* Should handle grayscale dilation/erosion

* Checking

* Added test cases and improved code structure

* Added command line control

* Added command line control

* Rectified some things

* Rectified some more things

* Improved comments

* Improved comments

* Improved doxygen comments and added more test cases

* Improved compatibility for builds and rectifying whitespace use

* Minor improvement in comments

* Did clang formatting

* pushed enum class inside namespace 'detail' and some other things

* Should handle multichannel images

* Clang formatting attempt

* got rid of if/else comparators for target_element

* Adds morphology.hpp declaration in boost/gil.hpp

* Fix newline

* (std::max)(a, b) instead of std::max(a, b)

* Improved Formatting

example/Jamfile

@@ -30,6 +30,7 @@ local sources =
     histogram.cpp
     interleaved_ptr.cpp
     mandelbrot.cpp
+    morphology.cpp
     packed_pixel.cpp
     resize.cpp
     sobel_scharr.cpp

example/morphology.cpp

@@ -0,0 +1,139 @@
+//
+// Copyright 2021 Prathamesh Tagore <[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)
+//
+#include <boost/gil.hpp>
+#include <boost/gil/extension/io/png.hpp>
+#include <iostream>
+#include <map>
+#include <string>
+#include <vector>
+
+// Default structuring element is SE = [1,1,1]
+//                                     |1,1,1|
+//                                     [1,1,1]
+// SE(1,1)(center pixel) is the one which coincides with the currently
+// considered pixel of the image to be convolved. The structuring element can be
+// easily changed by the user.
+namespace gil = boost::gil;
+int main(int argc, char** argv)
+{
+    std::map<std::string, bool> operations;
+    if (argc < 4 || argc > 11)
+    {
+        throw std::invalid_argument(
+            "Wrong format of command line arguments.\n"
+            "Correct format is <Input_image.png> <Output_image_template>"
+            " <operation1> <operation2> <operation3> <operation4> <operation5> "
+            "<operation6>"
+            " <operation7> <operation8>\n");
+        // User has to enter atleast one operation and they can enter maximum 8
+        // operations considering binary conversion to be an
+        // operation.Output_image_template argument is the common component which
+        // will be added in names of all output images followed by a hyphen and 
+        // the operation name.
+        // Example :
+        // ./example_morphology morphology_original.png out black_hat top_hat
+        // morphological_gradient dilation erosion opening closing binary
+        // Order of arguments entered will not matter with the exception of binary
+        // operation used for binary morphological operations.If binary is entered
+        // through the command line, it will always be the first operation to be
+        // applied.
+        return -1;
+    }
+    else
+    {
+        for (int i = 3; i < argc; ++i)
+            operations[argv[i]] = true;
+    }
+    gil::gray8_image_t img;
+    gil::read_image(argv[1], img, gil::png_tag{});
+
+    // Image can be converted to a binary format with high value as 255 and low
+    // value as 0 by using the threshold operator . This can be used for binary
+    // morphological operations . Convenient threshold for binary conversion may
+    // be chosen by the user.
+    if (operations["binary"])
+    {
+        threshold_binary(view(img), view(img), 170, 255);
+        std::string name = argv[2];
+        name += "-binary.png";
+        gil::write_view(name, view(img), gil::png_tag{});
+    }
+
+    std::vector<float> ker_vec(9, 1.0f); // Structuring element
+    gil::detail::kernel_2d<float> ker_mat(ker_vec.begin(), ker_vec.size(), 1, 1);
+    gil::gray8_image_t img_out_dilation(img.dimensions()), img_out_erosion(img.dimensions()),
+        img_out_opening(img.dimensions());
+    gil::gray8_image_t img_out_closing(img.dimensions()), img_out_mg(img.dimensions()),
+        img_out_top_hat(img.dimensions());
+    gil::gray8_image_t img_out_black_hat(img.dimensions());
+
+    // Do not pass empty input image views in functions defined below for
+    // morphological operations to avoid errors.
+    if (operations["dilation"])
+    {
+        // dilate(input_image_view,output_image_view,structuring_element,iterations)
+        dilate(view(img), view(img_out_dilation), ker_mat, 1);
+        std::string name = argv[2];
+        name += "-dilation.png";
+        gil::write_view(name, view(img_out_dilation), gil::png_tag{});
+    }
+
+    if (operations["erosion"])
+    {
+        // erode(input_image_view,output_image_view,structuring_element,iterations)
+        erode(view(img), view(img_out_erosion), ker_mat, 1);
+        std::string name = argv[2];
+        name += "-erosion.png";
+        gil::write_view(name, view(img_out_erosion), gil::png_tag{});
+    }
+
+    if (operations["opening"])
+    {
+        // opening(input_image_view,output_image_view,structuring_element)
+        opening(view(img), view(img_out_opening), ker_mat);
+        std::string name = argv[2];
+        name += "-opening.png";
+        gil::write_view(name, view(img_out_opening), gil::png_tag{});
+    }
+
+    if (operations["closing"])
+    {
+        // closing(input_image_view,output_image_view,structuring_element)
+        closing(view(img), view(img_out_closing), ker_mat);
+        std::string name = argv[2];
+        name += "-closing.png";
+        gil::write_view(name, view(img_out_closing), gil::png_tag{});
+    }
+
+    if (operations["morphological_gradient"])
+    {
+        // morphological_gradient(input_image_view,output_image_view,structuring_element)
+        morphological_gradient(view(img), view(img_out_mg), ker_mat);
+        std::string name = argv[2];
+        name += "-morphological_gradient.png";
+        gil::write_view(name, view(img_out_mg), gil::png_tag{});
+    }
+
+    if (operations["top_hat"])
+    {
+        // top_hat(input_image_view,output_image_view,structuring_element)
+        top_hat(view(img), view(img_out_top_hat), ker_mat);
+        std::string name = argv[2];
+        name += "-top_hat.png";
+        gil::write_view(name, view(img_out_top_hat), gil::png_tag{});
+    }
+
+    if (operations["black_hat"])
+    {
+        // black_hat(input_image_view,output_image_view,structuring_element)
+        black_hat(view(img), view(img_out_black_hat), ker_mat);
+        std::string name = argv[2];
+        name += "-black_hat.png";
+        gil::write_view(name, view(img_out_black_hat), gil::png_tag{});
+    }
+}

include/boost/gil.hpp

@@ -57,6 +57,7 @@
 #include <boost/gil/image_processing/histogram_matching.hpp>
 #include <boost/gil/image_processing/hough_parameter.hpp>
 #include <boost/gil/image_processing/hough_transform.hpp>
+#include <boost/gil/image_processing/morphology.hpp>
 #include <boost/gil/image_processing/numeric.hpp>
 #include <boost/gil/image_processing/scaling.hpp>
 #include <boost/gil/image_processing/threshold.hpp>