diff options
Diffstat (limited to 'sourcecodes/bnt-master/SLP/examples/UCI_DataSets/segment.doc')
| -rw-r--r-- | sourcecodes/bnt-master/SLP/examples/UCI_DataSets/segment.doc | 68 |
1 files changed, 68 insertions, 0 deletions
diff --git a/sourcecodes/bnt-master/SLP/examples/UCI_DataSets/segment.doc b/sourcecodes/bnt-master/SLP/examples/UCI_DataSets/segment.doc new file mode 100644 index 00000000..09b085ab --- /dev/null +++ b/sourcecodes/bnt-master/SLP/examples/UCI_DataSets/segment.doc @@ -0,0 +1,68 @@ +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. + + |