View source: R/hog_features_rscript.R
HOG | R Documentation |
The function is a modification of the 'findHOGFeatures' function of the SimpleCV package [ please consult the COPYRIGHT file ] The function takes either an RGB (it will be converted to gray) or a gray image and returns a vector of the HOG descriptors. The main purpose of the function is to create a vector of features, which can be used in classification tasks.
HOG(image, cells = 3, orientations = 6)
image |
matrix or 3-dimensional array where the third dimension is equal to 3 |
cells |
the number of divisions ( cells ) |
orientations |
number of orientation bins |
This function takes either a matrix, a data frame or a 3-dimensional array (where the third dimension is equal to 3) and returns a vector with the HOG-descriptors (histogram of oriented gradients).
a numeric vector
## Not run:
path = system.file("tmp_images", "1.png", package = "OpenImageR")
image = readImage(path)
res = HOG(image, cells = 3, orientations = 6)
## End(Not run)
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