measure_disease_shp: Measure disease using shapefiles

In pliman: Tools for Plant Image Analysis

Measure disease using shapefiles

Description

This function calls measure_disease() in each image polygon of a shapefile object generated with image_shp() and bind the results into read-ready data frames.

Usage

measure_disease_shp(
  img,
  nrow = 1,
  ncol = 1,
  buffer_x = 0,
  buffer_y = 0,
  prepare = FALSE,
  viewer = "mapview",
  index_lb = "HUE2",
  index_dh = "NGRDI",
  pattern = NULL,
  threshold = NULL,
  invert = FALSE,
  dir_original = NULL,
  show_features = FALSE,
  interactive = FALSE,
  plot = TRUE,
  parallel = FALSE,
  workers = NULL,
  verbose = TRUE,
  ...
)

Arguments

img	The image to be analyzed. Either an image of class Image or a character string containing the image name. In the last, the image will be searched in the root directory. Declare dir_original to inform a subfolder that contains the images to be processed.
nrow, ncol	The number of rows and columns to generate the shapefile. Defaults to 1.
buffer_x, buffer_y	Buffering factor for the width and height, respectively, of each individual shape's side. A value between 0 and 0.5 where 0 means no buffering and 0.5 means complete buffering (default: 0). A value of 0.25 will buffer the shape by 25% on each side.
prepare	Logical value indicating whether to prepare the image for analysis using image_prepare() function. This allows to align and crop the image before processing. Defaults to FALSE.
viewer	The viewer option. If not provided, the value is retrieved using get_pliman_viewer(). This option controls the type of viewer to use for interactive plotting. The available options are "base" and "mapview". If set to "base", the base R graphics system is used for interactive plotting. If set to "mapview", the mapview package is used. To set this argument globally for all functions in the package, you can use the set_pliman_viewer() function. For example, you can run set_pliman_viewer("mapview") to set the viewer option to "mapview" for all functions.
index_lb	The index used to segment the foreground (e.g., leaf) from the background. If not declared, the entire image area (pixels) will be considered in the computation of the severity.
index_dh	The index used to segment diseased from healthy tissues when img_healthy and img_symptoms are not declared. Defaults to "GLI". See image_index() for more details.
pattern	A pattern of file name used to identify images to be processed. For example, if pattern = "im" all images that the name matches the pattern (e.g., img1.-, image1.-, im2.-) will be analyzed. Providing any number as pattern (e.g., pattern = "1") will select images that are named as 1.-, 2.-, and so on.
threshold	By default (threshold = NULL), a threshold value based on Otsu's method is used to reduce the grayscale image to a binary image. If a numeric value is informed, this value will be used as a threshold. Inform any non-numeric value different than "Otsu" to iteratively choose the threshold based on a raster plot showing pixel intensity of the index. Must be a vector of length 2 to indicate the threshold for index_lb and index_dh, respectively.
invert	Inverts the binary image if desired. This is useful to process images with black background. Defaults to FALSE.
dir_original	The directory containing the original and processed images. Defaults to NULL. In this case, the function will search for the image img in the current working directory.
show_features	If TRUE returnS the lesion features such as number, area, perimeter, and radius. Defaults to FALSE.
interactive	If FALSE (default) the grid is created automatically based on the image dimension and number of rows/columns. If interactive = TRUE, users must draw points at the diagonal of the desired bounding box that will contain the grid.
plot	Show image after processing? Defaults to TRUE.
parallel	Processes the images asynchronously (in parallel) in separate R sessions running in the background on the same machine. It may speed up the processing time, especially when pattern is used is informed. The number of sections is set up to 30% of available cores.
workers	A positive numeric scalar or a function specifying the maximum number of parallel processes that can be active at the same time.
verbose	If TRUE (default) a summary is shown in the console.
...	Aditional arguments passed on to measure_disease.

Value

An object of class plm_disease_byl. See more details in the Value section of measure_disease().

Examples

if(interactive()){
# severity for the three leaflets (from left to right)
img <- image_pliman("mult_leaves.jpg", plot = TRUE)
sev <-
 measure_disease_shp(img = img,
                     nrow = 1,
                     ncol = 3,
                     index_lb = "B",
                     index_dh = "NGRDI")
sev$severity
}

pliman documentation built on Oct. 15, 2023, 1:06 a.m.