class_docstr: Define the image segmentation function based on Scikit-Image
      implementation and a set of provided parameters
  
  Args:
      algo_type: string, segmentation algorithm among the following:
          'quickshift', 'slic', 'felzenszwalb'
      target_params: dict, algorithm parameters (valid model paramters
          as define in Scikit-Image documentation)
class_docstr_tok: ["Define","the","image","segmentation","function","based","on","Scikit-Image","implementation","and","a","set","of","provided","parameters","Args",":","algo_type",":","string",",","segmentation","algorithm","among","the","following",":","'quickshift","'",",","'slic","'",",","'felzenszwalb'","target_params",":","dict",",","algorithm","parameters","(","valid","model","paramters","as","define","in","Scikit-Image","documentation",")"]
code: def __call__(self, *args):
      return self.target_fn(args[0], **self.target_params)
  
file_path: lime/lime/wrappers/scikit_image.py
imports: import types
  from lime.utils.generic_utils import has_arg
  from skimage.segmentation import felzenszwalb, slic, quickshift
label_desc: Use image node_id 2 for calling the SegmentationAlgorithm obj's underlying member method code with example usage: obj.__call__() and returns: self