image_wordsegmentation: Find Words by Connected Components Labelling

In image.textlinedetector: Segment Images in Text Lines and Words

Find Words by Connected Components Labelling

Description

Filter the image using the gaussian kernel and extract components which are connected which are to be considered as words.

Usage

image_wordsegmentation(x, kernelSize = 11L, sigma = 11L, theta = 7L)

Arguments

x	an object of class opencv-image containing black/white binary data (type CV_8U1)
kernelSize	size of the kernel
sigma	sigma of the kernel
theta	theta of the kernel

Value

a list with elements

• n: the number of lines found

• overview: an opencv-image of the detected areas

• words: a list of opencv-image's, one for each word area

Examples

library(opencv)
library(magick)
library(image.textlinedetector)
path  <- system.file(package = "image.textlinedetector", "extdata", "example.png")
img   <- image_read(path)
img   <- image_resize(img, "x1000")
areas <- image_textlines_flor(img, light = TRUE, type = "sauvola")
areas$overview
areas$textlines[[6]]
textwords <- image_wordsegmentation(areas$textlines[[6]])
textwords$n
textwords$overview
textwords$words[[2]]
textwords$words[[3]]

image.textlinedetector documentation built on Nov. 10, 2023, 1:09 a.m.