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| Implementation of the segmentation algorithm described in: |
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| Efficient Graph-Based Image Segmentation |
| Pedro F. Felzenszwalb and Daniel P. Huttenlocher |
| International Journal of Computer Vision, 59(2) September 2004. |
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| The program takes a color image (PPM format) and produces a segmentation |
| with a random color assigned to each region. |
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| 1) Type "make" to compile "segment". |
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| 2) Run "segment sigma k min input output". |
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| The parameters are: (see the paper for details) |
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| sigma: Used to smooth the input image before segmenting it. |
| k: Value for the threshold function. |
| min: Minimum component size enforced by post-processing. |
| input: Input image. |
| output: Output image. |
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| Typical parameters are sigma = 0.5, k = 500, min = 20. |
| Larger values for k result in larger components in the result. |
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| ****** |
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| Local Modifications: |
| - Removed Makefile, cpp binary, pnmfile.h |
| - Removed unused function |
| - Removed unused variables |
| - Corrected include statements |
| - Fixed float conversion warnings |
| - Fixed style warnings |
