pliman 1.1.0

New functions

measure_disease_iter() to measure disease in an interactive section.
pick_count() to count objects in an image manually.
pick_palette() to create an image palette by picking up color point(s) from the image
pick_rgb() to pick up the RGB values from selected point(s) in the image.
summary_index() to summary the index either between and within objects.
pliman now exports the foward-pipe operator %>%. Code from poorman package.

Deprecated functions in the last version (count_objects(), image_show(), leaf_area(), objects_rgb(), prop_segmented(), and symptomatic_area()) were removed.
Use Bootstrap 5 from pkgdown 2.0.0 in the package site.

analyze_objects() is now used as the main function to compute the number and shape of objects.
measure_disease() is now used as the main function to perform phytopatometry studies. The function can compute symptomatic area, as well as the number and shape of lesions.
image_segment_iter() is used to performs iterative image segmentation.
conv_hull(), poly_area(), poly_mass(), poly_spline(), plot_contour(), and plot_ellipse() as utilities for analyzing polygons.
dpi() to compute the resolution (dots per inch) of an image.
tune_tolerance() for tunning the tolerance parameter.

objects_rgb() will be depracated in the future. Now, to compute an index for each object use the object_index argument in analyze_objects(), for example, analyze_objects(object_index = "B").
leaf_area() will be depracated in the future. Now, combine analyze_objects() with get_measures() to obtain the area and shape of objects (leaves).
prop_segmented() is now deprecated in favour of image_segment_iter().
count_lesions() is now deprecated. Now, to compute the number and shape of lesions, use the argument show_features = TRUE in measure_disease().
image_show() is now deprecated in favour of plot().

Include fill_hull argument in symptomatic_area() and count_lesions()
Improve image_contrast() function to avoid error regarding image resolution.
New argument subfolder in image_export() to export an image to a subfolder.
Now EBImage installation is checked when pliman is installed.
image_pliman() now returns the image object instead of the path to the image. So, it is not necessarily to call it within image_import().

image_autocrop() for automatic image cropping.
image_filter() to perform median-based filtering.
image_contrast() to improve contrast by performing adaptive histogram equalization
object_coord() to get the object coordinates and (optionally) draw a bounding rectangle around multiple objects in an image.
object_id() to get the object identification in an image.
object_isolate() to isolate an object from an image.
prop_segmented() to perform (iterative) image segmentation with pixels proportion.