image: The image data set

In PPforest: Projection Pursuit Classification Forest

The image data set

Description

contains 2310 observations of instances from 7 outdoor images

• Type has 7 types of outdoor images, brickface, cement, foliage, grass, path, sky, and window.

• X1 the column of the center pixel of the region

• X2 the row of the center pixel of the region.

• X3 the number of pixels in a region = 9.

• X4 the results of a line extraction algorithm that counts how many lines of length 5 (any orientation) with low contrast, less than or equal to 5, go through the region.

• X5 measure the contrast of horizontally adjacent pixels in the region. There are 6, the mean and standard deviation are given. This attribute is used as a vertical edge detector.

• X6 X5 sd

• X7 measures the contrast of vertically adjacent pixels. Used for horizontal line detection.

• X8 sd X7

• X9 the average over the region of (R + G + B)/3

• X10 the average over the region of the R value.

• X11 the average over the region of the B value.

• X12 the average over the region of the G value.

• X13 measure the excess red: (2R - (G + B))

• X14 measure the excess blue: (2B - (G + R))

• X15 measure the excess green: (2G - (R + B))

• X16 3-d nonlinear transformation of RGB. (Algorithm can be found in Foley and VanDam, Fundamentals of Interactive Computer Graphics)

• X17 mean of X16

• X18 hue mean

Usage

data(image)

Format

A data frame contains 2310 observations and 19 variables

PPforest documentation built on Sept. 10, 2022, 1:05 a.m.