Implementation of the segmentation algorithm described in:Efficient Graph-Based Image SegmentationPedro F. Felzenszwalb and Daniel P. HuttenlocherInternational Journal of Computer Vision, 59(2) September 2004.The program takes a color image (PPM format) and produces a segmentationwith a random color assigned to each region.1) Type "make" to compile "segment".2) Run "segment sigma k min input output".The parameters are: (see the paper for details)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.Typical parameters are sigma = 0.5, k = 500, min = 20.Larger values for k result in larger components in the result.