HOG: calculate the HOG (Histogram of oriented gradients) for an...

In mlampros/OpenImageR: An Image Processing Toolkit

calculate the HOG (Histogram of oriented gradients) for an image

Description

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.

Usage

HOG(image, cells = 3, orientations = 6)

Arguments

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

Details

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).

Value

a numeric vector

Examples

## Not run: 

path = system.file("tmp_images", "1.png", package = "OpenImageR")

image = readImage(path)

res = HOG(image, cells = 3, orientations = 6)

## End(Not run)

mlampros/OpenImageR documentation built on July 30, 2023, 1:17 a.m.