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
A data frame contains 2310 observations and 19 variables