image_crop_baselineareas | R Documentation |
Extract areas between baselines
image_crop_baselineareas( image, x, textregion, extend = TRUE, horiz = FALSE, enlarge = 0, color = "royalblue", border = "10x10", overview = TRUE, max_width = +Inf, trace = FALSE, ... )
image |
|
x |
a list vector where each list element contains columns x and y indicating the positions of the baseline |
textregion |
a list vector of the same length of |
extend |
logical indicating to extend the baseline to the left and right of the image. Defaults to TRUE. |
horiz |
logical indicating to extend the baselines horizontally. Defaults to FALSE. |
enlarge |
argument passed on to |
color |
color to use for adding a border in the overview image. Defaults to 'royalblue'. |
border |
border pixels to using in the overview image. Defaults to 10x10 pixel borders. |
overview |
logical indicating to add the overview image of all area's below each other. Defaults to TRUE. |
max_width |
maximum width of the overview image. Defaults to +Inf |
trace |
logical indicating to trace progress |
... |
further arguments currently not used |
a list with elements areas and overview where overview
is a magick-image
with stacked image lines
and areas
is a list of magick-image
's, one for each text line
In case overview is set to FALSE
the return value is only the list of stacked image lines.
library(opencv) library(magick) path <- system.file(package = "madoc.utils", "extdata", "pagexml-example.xml") x <- read_pagexml(path) x img <- system.file(package = "madoc.utils", "extdata", "pagexml-example.jpg") img <- ocv_read(img) areas <- image_crop_baselineareas(img, x = x$baseline, extend = FALSE, trace = TRUE) areas$areas image_resize(areas$overview, "x600") areas <- image_crop_baselineareas(img, x = x$baseline, extend = TRUE, color = "red") image_resize(areas$overview, "x600") ## Multiple regions path <- system.file(package = "madoc.utils", "extdata", "multiregion-page.xml") x <- read_pagexml(path) x img <- system.file(package = "madoc.utils", "extdata", "multiregion.jpg") img <- ocv_read(img) areas <- image_crop_baselineareas(img, x = x$baseline, textregion = x$points, extend = TRUE, overview = FALSE) overview <- image_rbind(areas, color = "grey", geometry = "5x5") image_resize(overview, "600")
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