.. DO NOT EDIT.
.. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY.
.. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE:
.. "examples/scribo/example_line_detector.py"
.. LINE NUMBERS ARE GIVEN BELOW.

.. only:: html

    .. note::
        :class: sphx-glr-download-link-note

        :ref:`Go to the end <sphx_glr_download_examples_scribo_example_line_detector.py>`
        to download the full example code.

.. rst-class:: sphx-glr-example-title

.. _sphx_glr_examples_scribo_example_line_detector.py:


Line detection example
======================

This example shows how to use the line detector with Pylena.

.. GENERATED FROM PYTHON SOURCE LINES 9-17

.. code-block:: Python


    import matplotlib.pyplot as plt
    from skimage.data import text
    import pylena as pln
    import numpy as np

    from typing import List








.. GENERATED FROM PYTHON SOURCE LINES 18-19

Then, we read the image.

.. GENERATED FROM PYTHON SOURCE LINES 19-27

.. code-block:: Python


    img = text()

    plt.imshow(img, cmap="gray")
    plt.xticks([])
    plt.yticks([])
    plt.show()




.. image-sg:: /examples/scribo/images/sphx_glr_example_line_detector_001.png
   :alt: example line detector
   :srcset: /examples/scribo/images/sphx_glr_example_line_detector_001.png
   :class: sphx-glr-single-img





.. GENERATED FROM PYTHON SOURCE LINES 28-29

Then, we use the line detector.

.. GENERATED FROM PYTHON SOURCE LINES 29-44

.. code-block:: Python


    img_label: np.ndarray
    superpositions: List[pln.scribo.LSuperposition]
    lines: List[pln.scribo.VSegment]

    img_label, superpositions, lines = pln.scribo.line_detector(
        img,
        "full",
        verbose=True,
        min_len=100,
        blumi=110,
        llumi=110,
        discontinuity_relative=5,
    )





.. rst-class:: sphx-glr-script-out

 .. code-block:: none

    min_len = 100
    params = <scribo.SegDetParams: preprocess=0, tracker=0, traversal_mode=2, extraction_type=0, negate_image=0, dyn=0.600000, size_mask=11, double_exponential_alpha=0.600000, simple_moving_average_memory=30.000000, exponential_moving_average_memory=16.000000, one_euro_beta=0.007000, one_euro_mincutoff=1.000000, one_euro_dcutoff=1.000000, bucket_size=32, nb_values_to_keep=30, discontinuity_relative=5, discontinuity_absolute=0, minimum_for_fusion=15, default_sigma_position=2, default_sigma_thickness=2, default_sigma_luminosity=57, min_nb_values_sigma=10, sigma_pos_min=1.000000, sigma_thickness_min=0.640000, sigma_luminosity_min=13.000000, gradient_threshold=30, llumi=110, blumi=110, ratio_lum=1.000000, max_thickness=100, threshold_intersection=0.800000, remove_duplicates=1>




.. GENERATED FROM PYTHON SOURCE LINES 45-46

Finally, we display the results of the line detector.

.. GENERATED FROM PYTHON SOURCE LINES 46-56

.. code-block:: Python


    plt.imshow(img, cmap="gray")
    for line in lines:
        print(line)
        plt.plot([line.x0, line.x1], [line.y0, line.y1], color="red")

    plt.xticks([])
    plt.yticks([])
    plt.show()




.. image-sg:: /examples/scribo/images/sphx_glr_example_line_detector_002.png
   :alt: example line detector
   :srcset: /examples/scribo/images/sphx_glr_example_line_detector_002.png
   :class: sphx-glr-single-img


.. rst-class:: sphx-glr-script-out

 .. code-block:: none

    2: (0, 86) -- (124, 154)
    3: (5, 137) -- (191, 86)
    4: (0, 12) -- (265, 132)
    5: (310, 70) -- (427, 50)
    6: (341, 31) -- (447, 67)
    7: (110, 0) -- (446, 131)




.. GENERATED FROM PYTHON SOURCE LINES 57-58

We can also display the pixel information.

.. GENERATED FROM PYTHON SOURCE LINES 58-81

.. code-block:: Python


    img_rgb = np.zeros((img.shape[0], img.shape[1], 3), dtype=np.uint8)
    img_rgb[:, :, 0] = img
    img_rgb[:, :, 1] = img
    img_rgb[:, :, 2] = img

    max_label = np.max(img_label)

    np.random.seed(0)
    color = np.random.randint(low=0, high=255, size=(max_label - 2, 3))

    for i in range(2, max_label):
        img_rgb[img_label == i, 0] = color[i - 2, 0]
        img_rgb[img_label == i, 1] = color[i - 2, 1]
        img_rgb[img_label == i, 2] = color[i - 2, 2]

    plt.imshow(img_rgb)

    plt.xticks([])
    plt.yticks([])
    plt.show()





.. image-sg:: /examples/scribo/images/sphx_glr_example_line_detector_003.png
   :alt: example line detector
   :srcset: /examples/scribo/images/sphx_glr_example_line_detector_003.png
   :class: sphx-glr-single-img





.. GENERATED FROM PYTHON SOURCE LINES 82-83

We can also display the include the superposition information.

.. GENERATED FROM PYTHON SOURCE LINES 83-98

.. code-block:: Python


    img_rgb_with_superposition = img_rgb.copy()

    for superposition in superpositions:
        print(superposition)
        img_rgb_with_superposition[superposition.y, superposition.x, 0] = 255
        img_rgb_with_superposition[superposition.y, superposition.x, 1] = 0
        img_rgb_with_superposition[superposition.y, superposition.x, 2] = 0

    plt.imshow(img_rgb_with_superposition)

    plt.xticks([])
    plt.yticks([])
    plt.show()




.. image-sg:: /examples/scribo/images/sphx_glr_example_line_detector_004.png
   :alt: example line detector
   :srcset: /examples/scribo/images/sphx_glr_example_line_detector_004.png
   :class: sphx-glr-single-img


.. rst-class:: sphx-glr-script-out

 .. code-block:: none

    2: (56, 117)
    3: (56, 117)
    2: (56, 118)
    3: (56, 118)
    2: (56, 119)
    3: (56, 119)
    2: (56, 120)
    3: (56, 120)
    2: (56, 121)
    3: (56, 121)
    2: (56, 122)
    3: (56, 122)
    2: (57, 117)
    3: (57, 117)
    2: (57, 118)
    3: (57, 118)
    2: (57, 119)
    3: (57, 119)
    2: (57, 120)
    3: (57, 120)
    2: (57, 121)
    3: (57, 121)
    2: (57, 122)
    3: (57, 122)
    2: (58, 118)
    3: (58, 118)
    2: (58, 119)
    3: (58, 119)
    2: (58, 120)
    3: (58, 120)
    2: (58, 121)
    3: (58, 121)
    2: (59, 118)
    3: (59, 118)
    2: (59, 119)
    3: (59, 119)
    2: (59, 120)
    3: (59, 120)
    2: (59, 121)
    3: (59, 121)
    2: (60, 118)
    3: (60, 118)
    2: (60, 119)
    3: (60, 119)
    2: (60, 120)
    3: (60, 120)
    2: (60, 121)
    3: (60, 121)
    2: (61, 118)
    3: (61, 118)
    2: (61, 119)
    3: (61, 119)
    2: (61, 120)
    3: (61, 120)
    2: (61, 121)
    3: (61, 121)
    2: (62, 118)
    3: (62, 118)
    2: (62, 119)
    3: (62, 119)
    2: (62, 120)
    3: (62, 120)
    2: (62, 121)
    3: (62, 121)
    2: (62, 122)
    3: (62, 122)
    3: (165, 85)
    4: (165, 85)
    3: (165, 86)
    4: (165, 86)
    3: (165, 87)
    4: (165, 87)
    3: (166, 85)
    4: (166, 85)
    3: (166, 86)
    4: (166, 86)
    3: (166, 87)
    4: (166, 87)
    3: (166, 88)
    4: (166, 88)
    3: (167, 87)
    4: (167, 87)
    3: (167, 88)
    4: (167, 88)
    3: (168, 87)
    4: (168, 87)
    3: (168, 88)
    4: (168, 88)
    3: (169, 87)
    4: (169, 87)
    3: (169, 88)
    4: (169, 88)
    3: (170, 88)
    4: (170, 88)
    3: (170, 89)
    4: (170, 89)
    3: (171, 88)
    4: (171, 88)
    3: (171, 89)
    4: (171, 89)
    3: (172, 88)
    4: (172, 88)
    3: (172, 89)
    4: (172, 89)
    3: (172, 90)
    4: (172, 90)
    3: (173, 88)
    4: (173, 88)
    3: (173, 89)
    4: (173, 89)
    5: (399, 50)
    6: (399, 50)
    5: (399, 51)
    6: (399, 51)
    5: (399, 52)
    6: (399, 52)
    5: (399, 53)
    6: (399, 53)
    5: (400, 50)
    6: (400, 50)
    5: (400, 51)
    6: (400, 51)
    5: (400, 52)
    6: (400, 52)
    5: (400, 53)
    6: (400, 53)
    5: (401, 50)
    6: (401, 50)
    5: (401, 51)
    6: (401, 51)
    5: (401, 52)
    6: (401, 52)
    5: (401, 53)
    6: (401, 53)
    5: (402, 51)
    6: (402, 51)
    5: (402, 52)
    6: (402, 52)
    5: (402, 53)
    6: (402, 53)
    5: (403, 51)
    6: (403, 51)
    5: (403, 52)
    6: (403, 52)
    5: (403, 53)
    6: (403, 53)
    5: (404, 51)
    6: (404, 51)
    5: (404, 52)
    6: (404, 52)
    5: (404, 53)
    6: (404, 53)
    5: (405, 51)
    6: (405, 51)
    5: (405, 52)
    6: (405, 52)
    5: (405, 53)
    6: (405, 53)
    5: (406, 51)
    6: (406, 51)
    5: (406, 52)
    6: (406, 52)
    5: (406, 53)
    6: (406, 53)
    5: (407, 51)
    6: (407, 51)
    5: (407, 52)
    6: (407, 52)
    5: (407, 53)
    6: (407, 53)
    5: (408, 51)
    6: (408, 51)
    5: (408, 52)
    6: (408, 52)
    5: (408, 53)
    6: (408, 53)
    5: (409, 50)
    6: (409, 50)
    5: (409, 51)
    6: (409, 51)
    5: (409, 52)
    6: (409, 52)
    5: (398, 49)
    6: (398, 49)
    5: (398, 50)
    6: (398, 50)
    5: (398, 51)
    6: (398, 51)





.. rst-class:: sphx-glr-timing

   **Total running time of the script:** (0 minutes 0.211 seconds)


.. _sphx_glr_download_examples_scribo_example_line_detector.py:

.. only:: html

  .. container:: sphx-glr-footer sphx-glr-footer-example

    .. container:: sphx-glr-download sphx-glr-download-jupyter

      :download:`Download Jupyter notebook: example_line_detector.ipynb <example_line_detector.ipynb>`

    .. container:: sphx-glr-download sphx-glr-download-python

      :download:`Download Python source code: example_line_detector.py <example_line_detector.py>`

    .. container:: sphx-glr-download sphx-glr-download-zip

      :download:`Download zipped: example_line_detector.zip <example_line_detector.zip>`


.. only:: html

 .. rst-class:: sphx-glr-signature

    `Gallery generated by Sphinx-Gallery <https://sphinx-gallery.github.io>`_