image: The image data set
In natydasilva/PPforest: Projection Pursuit Classification Forest

image

R Documentation

The image data set

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