Update doc assets

Author: PierreRaybaut

doc/images/shots/i_beautiful.png

@@ -1,3 +1,3 @@
-Number of compute functions,93,114,207
-Number of validated compute functions,93,114,207
+Number of compute functions,93,115,208
+Number of validated compute functions,93,115,208
 Percentage of validated compute functions,100%,100%,100%

doc/images/shots/s_beautiful.png

@@ -18,10 +18,10 @@
 :py:func:`blob_log <sigima.proc.image.blob_log>`,Compute blobs using Laplacian of Gaussian method,`test_image_blob_log <https://github.com/DataLab-Platform/Sigima/blob/v1.0.0/sigima/tests/image/blob_detection_unit_test.py#L186>`_
 :py:func:`blob_opencv <sigima.proc.image.blob_opencv>`,Compute blobs using OpenCV,`test_image_blob_opencv <https://github.com/DataLab-Platform/Sigima/blob/v1.0.0/sigima/tests/image/blob_detection_unit_test.py#L208>`_
 :py:func:`butterworth <sigima.proc.image.butterworth>`,Compute Butterworth filter,`test_butterworth <https://github.com/DataLab-Platform/Sigima/blob/v1.0.0/sigima/tests/image/filtering_unit_test.py#L70>`_
-:py:func:`calibration <sigima.proc.image.calibration>`,Compute linear calibration,`test_image_calibration <https://github.com/DataLab-Platform/Sigima/blob/v1.0.0/sigima/tests/image/exposure_unit_test.py#L158>`_
+:py:func:`calibration <sigima.proc.image.calibration>`,Compute polynomial calibration,`test_image_calibration <https://github.com/DataLab-Platform/Sigima/blob/v1.0.0/sigima/tests/image/geometry_unit_test.py#L541>`_
 :py:func:`canny <sigima.proc.image.canny>`,Compute Canny filter,`test_canny <https://github.com/DataLab-Platform/Sigima/blob/v1.0.0/sigima/tests/image/edges_unit_test.py#L19>`_
 :py:func:`centroid <sigima.proc.image.centroid>`,Compute centroid,`test_image_centroid <https://github.com/DataLab-Platform/Sigima/blob/v1.0.0/sigima/tests/image/centroid_unit_test.py#L150>`_
-:py:func:`clip <sigima.proc.image.clip>`,Apply clipping,`test_image_clip <https://github.com/DataLab-Platform/Sigima/blob/v1.0.0/sigima/tests/image/exposure_unit_test.py#L191>`_
+:py:func:`clip <sigima.proc.image.clip>`,Apply clipping,`test_image_clip <https://github.com/DataLab-Platform/Sigima/blob/v1.0.0/sigima/tests/image/exposure_unit_test.py#L158>`_
 :py:func:`closing <sigima.proc.image.closing>`,Compute morphological closing,`test_closing <https://github.com/DataLab-Platform/Sigima/blob/v1.0.0/sigima/tests/image/morphology_unit_test.py#L59>`_
 :py:func:`complex_from_magnitude_phase <sigima.proc.image.complex_from_magnitude_phase>`,Combine magnitude and phase images into a complex image,`test_image_complex_from_magnitude_phase <https://github.com/DataLab-Platform/Sigima/blob/v1.0.0/sigima/tests/image/operation_unit_test.py#L399>`_
 :py:func:`complex_from_real_imag <sigima.proc.image.complex_from_real_imag>`,Combine two real images into a complex image using real + i * imag,`test_image_complex_from_real_imag <https://github.com/DataLab-Platform/Sigima/blob/v1.0.0/sigima/tests/image/operation_unit_test.py#L317>`_
@@ -54,7 +54,7 @@
 :py:func:`flipv <sigima.proc.image.flipv>`,Flip data vertically,`test_image_flipv <https://github.com/DataLab-Platform/Sigima/blob/v1.0.0/sigima/tests/image/geometry_unit_test.py#L51>`_
 :py:func:`gaussian_filter <sigima.proc.image.gaussian_filter>`,Compute gaussian filter,`test_image_gaussian_filter <https://github.com/DataLab-Platform/Sigima/blob/v1.0.0/sigima/tests/image/filtering_unit_test.py#L26>`_
 :py:func:`gaussian_freq_filter <sigima.proc.image.gaussian_freq_filter>`,Apply a Gaussian filter in the frequency domain,`test_gaussian_freq_filter <https://github.com/DataLab-Platform/Sigima/blob/v1.0.0/sigima/tests/image/filtering_unit_test.py#L116>`_
-:py:func:`histogram <sigima.proc.image.histogram>`,"Compute histogram of the image data,",`test_image_histogram <https://github.com/DataLab-Platform/Sigima/blob/v1.0.0/sigima/tests/image/exposure_unit_test.py#L204>`_
+:py:func:`histogram <sigima.proc.image.histogram>`,"Compute histogram of the image data,",`test_image_histogram <https://github.com/DataLab-Platform/Sigima/blob/v1.0.0/sigima/tests/image/exposure_unit_test.py#L171>`_
 :py:func:`horizontal_projection <sigima.proc.image.horizontal_projection>`,Compute the sum of pixel intensities along each col. (projection on the x-axis),`test_image_horizontal_projection <https://github.com/DataLab-Platform/Sigima/blob/v1.0.0/sigima/tests/image/projections_unit_test.py#L17>`_
 :py:func:`hough_circle_peaks <sigima.proc.image.hough_circle_peaks>`,Compute Hough circles,`test_image_hough_circle_peaks <https://github.com/DataLab-Platform/Sigima/blob/v1.0.0/sigima/tests/image/hough_circle_unit_test.py#L66>`_
 :py:func:`ifft <sigima.proc.image.ifft>`,Compute inverse FFT,`test_image_ifft <https://github.com/DataLab-Platform/Sigima/blob/v1.0.0/sigima/tests/image/fft2d_unit_test.py#L134>`_
@@ -68,7 +68,7 @@
 :py:func:`moving_average <sigima.proc.image.moving_average>`,Compute moving average,`test_image_moving_average <https://github.com/DataLab-Platform/Sigima/blob/v1.0.0/sigima/tests/image/filtering_unit_test.py#L37>`_
 :py:func:`moving_median <sigima.proc.image.moving_median>`,Compute moving median,`test_image_moving_median <https://github.com/DataLab-Platform/Sigima/blob/v1.0.0/sigima/tests/image/filtering_unit_test.py#L49>`_
 :py:func:`normalize <sigima.proc.image.normalize>`,,`test_image_normalize <https://github.com/DataLab-Platform/Sigima/blob/v1.0.0/sigima/tests/image/exposure_unit_test.py#L122>`_
-:py:func:`offset_correction <sigima.proc.image.offset_correction>`,Apply offset correction,`test_image_offset_correction <https://github.com/DataLab-Platform/Sigima/blob/v1.0.0/sigima/tests/image/exposure_unit_test.py#L232>`_
+:py:func:`offset_correction <sigima.proc.image.offset_correction>`,Apply offset correction,`test_image_offset_correction <https://github.com/DataLab-Platform/Sigima/blob/v1.0.0/sigima/tests/image/exposure_unit_test.py#L199>`_
 :py:func:`opening <sigima.proc.image.opening>`,Compute morphological opening,`test_opening <https://github.com/DataLab-Platform/Sigima/blob/v1.0.0/sigima/tests/image/morphology_unit_test.py#L53>`_
 :py:func:`peak_detection <sigima.proc.image.peak_detection>`,Compute 2D peak detection,`test_image_peak_detection <https://github.com/DataLab-Platform/Sigima/blob/v1.0.0/sigima/tests/image/peak2d_unit_test.py#L85>`_
 :py:func:`phase <sigima.proc.image.phase>`,Compute the phase (argument) of a complex image,`test_image_phase <https://github.com/DataLab-Platform/Sigima/blob/v1.0.0/sigima/tests/image/operation_unit_test.py#L334>`_
@@ -93,6 +93,7 @@
 :py:func:`scharr_h <sigima.proc.image.scharr_h>`,Compute horizontal Scharr filter,`test_scharr_h <https://github.com/DataLab-Platform/Sigima/blob/v1.0.0/sigima/tests/image/edges_unit_test.py#L104>`_
 :py:func:`scharr_v <sigima.proc.image.scharr_v>`,Compute vertical Scharr filter,`test_scharr_v <https://github.com/DataLab-Platform/Sigima/blob/v1.0.0/sigima/tests/image/edges_unit_test.py#L110>`_
 :py:func:`segment_profile <sigima.proc.image.segment_profile>`,Compute segment profile,`test_segment_profile <https://github.com/DataLab-Platform/Sigima/blob/v1.0.0/sigima/tests/image/profile_unit_test.py#L48>`_
+:py:func:`set_uniform_coords <sigima.proc.image.set_uniform_coords>`,Convert image to uniform coordinate system,`test_set_uniform_coords <https://github.com/DataLab-Platform/Sigima/blob/v1.0.0/sigima/tests/image/geometry_unit_test.py#L466>`_
 :py:func:`sobel <sigima.proc.image.sobel>`,Compute Sobel filter,`test_sobel <https://github.com/DataLab-Platform/Sigima/blob/v1.0.0/sigima/tests/image/edges_unit_test.py#L80>`_
 :py:func:`sobel_h <sigima.proc.image.sobel_h>`,Compute horizontal Sobel filter,`test_sobel_h <https://github.com/DataLab-Platform/Sigima/blob/v1.0.0/sigima/tests/image/edges_unit_test.py#L86>`_
 :py:func:`sobel_v <sigima.proc.image.sobel_v>`,Compute vertical Sobel filter,`test_sobel_v <https://github.com/DataLab-Platform/Sigima/blob/v1.0.0/sigima/tests/image/edges_unit_test.py#L92>`_