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README @ 77

Last change on this file since 77 was 77, checked in by (none), 14 years ago
Added parallelized code
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2	Implementation of the segmentation algorithm described in:
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4	Efficient Graph-Based Image Segmentation
5	Pedro F. Felzenszwalb and Daniel P. Huttenlocher
6	International Journal of Computer Vision, 59(2) September 2004.
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8	The program takes a color image (PPM format) and produces a segmentation
9	with a random color assigned to each region.
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11	1) Type "make" to compile "segment".
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13	2) Run "segment sigma k min input output".
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15	The parameters are: (see the paper for details)
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17	sigma: Used to smooth the input image before segmenting it.
18	k: Value for the threshold function.
19	min: Minimum component size enforced by post-processing.
20	input: Input image.
21	output: Output image.
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23	Typical parameters are sigma = 0.5, k = 500, min = 20.
24	Larger values for k result in larger components in the result.
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