Class StaticSaliency

Method Details

• __fromPtr__

  public static StaticSaliency __fromPtr__(long addr)

• computeBinaryMap

  public boolean computeBinaryMap(Mat _saliencyMap, Mat _binaryMap)

  This function perform a binary map of given saliency map. This is obtained in this way: In a first step, to improve the definition of interest areas and facilitate identification of targets, a segmentation by clustering is performed, using *K-means algorithm*. Then, to gain a binary representation of clustered saliency map, since values of the map can vary according to the characteristics of frame under analysis, it is not convenient to use a fixed threshold. So, Otsu's algorithm* is used, which assumes that the image to be thresholded contains two classes of pixels or bi-modal histograms (e.g. foreground and back-ground pixels); later on, the algorithm calculates the optimal threshold separating those two classes, so that their intra-class variance is minimal.

  Parameters:

  _saliencyMap - the saliency map obtained through one of the specialized algorithms

  _binaryMap - the binary map

  Returns:

  automatically generated