segment: Image Segmentation Dataset.
In hhcartr: HHCART(G) - A Reflected Feature Space for CART

Description Usage Format Source

The instances were drawn randomly from a database of 7 outdoor images. The images were hand segmented to create a classification for every pixel. Each instance is a 3x3 region.

1	data(segment)

A data frame with 2310 rows and 19 variables:

region-centroid-col: the column of the center pixel of the region.
region-centroid-row: the row of the center pixel of the region.
region-pixel-count: the number of pixels in a region = 9.
short-line-density-5: the results of a line extractoin algorithm that counts how many lines of length 5 (any orientation) with low contrast, less than or equal to 5, go through the region.
short-line-density-2: same as short-line-density-5 but counts lines of high contrast, greater than 5.
vedge-mean: 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.
vegde-sd: 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.
hedge-mean: measures the contrast of vertically adjacent pixels. Used for horizontal line detection.
hedge-sd: measures the contrast of vertically adjacent pixels. Used for horizontal line detection.
intensity-mean: the average over the region of (R + G + B)/3.
rawred-mean: the average over the region of the R value.
rawblue-mean: the average over the region of the B value.
rawgreen-mean: the average over the region of the G value.
exred-mean: measure the excess red: (2R - (G + B)).
exblue-mean: measure the excess blue: (2B - (G + R)).
exgreen-mean: measure the excess green: (2G - (R + B)).
value-mean: 3-d nonlinear transformation of RGB. (Algorithm can be found in Foley and VanDam, Fundamentals of Interactive Computer Graphics).
saturatoin-mean: 3-d nonlinear transformation of RGB. (Algorithm can be found in Foley and VanDam, Fundamentals of Interactive Computer Graphics).
hue-mean: 3-d nonlinear transformation of RGB. (Algorithm can be found in Foley and VanDam, Fundamentals of Interactive Computer Graphics).