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Description of Datasets
1. Title: Image Segmentation data
2. Source Information
-- Creators: Vision Group, University of Massachusetts
-- Donor: Vision Group (Carla Brodley, brodley@cs.umass.edu)
-- Date: November, 1990
3. Past Usage: None yet published
4. Relevant Information:
The instances were drawn randomly from a database of 7 outdoor
images. The images were handsegmented to create a classification
for every pixel.
Each instance is a 3x3 region.
5. Number of Instances: 2310
6. Number of Attributes: 19 continuous attributes
7. Attribute Information:
1. region-centroid-col: the column of the center pixel of the region.
2. region-centroid-row: the row of the center pixel of the region.
3. region-pixel-count: the number of pixels in a region = 9.
4. 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.
5. short-line-density-2: same as short-line-density-5 but counts lines
of high contrast, greater than 5.
6. 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.
7. vegde-sd: (see 6)
8. hedge-mean: measures the contrast of vertically adjacent
pixels. Used for horizontal line detection.
9. hedge-sd: (see 8).
10. intensity-mean: the average over the region of (R + G + B)/3
11. rawred-mean: the average over the region of the R value.
12. rawblue-mean: the average over the region of the B value.
13. rawgreen-mean: the average over the region of the G value.
14. exred-mean: measure the excess red: (2R - (G + B))
15. exblue-mean: measure the excess blue: (2B - (G + R))
16. exgreen-mean: measure the excess green: (2G - (R + B))
17. value-mean: 3-d nonlinear transformation
of RGB. (Algorithm can be found in Foley and VanDam, Fundamentals
of Interactive Computer Graphics)
18. saturatoin-mean: (see 17)
19. hue-mean: (see 17)
8. Missing Attribute Values: None
9. Class Distribution:
Classes: 1 = brickface,
2 = sky,
3 = foliage,
4 = cement,
5 = window,
6 = path,
7 = grass.
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