Weighted Felzenszwalb and Huttenlocher method (WFH)

Image segmentation is a fundamental step in a wide range of image processing tasks. One of the many image segmentation methods is the Graph-Based Segmentation (GBS), which is technique based on graph theory. A new segmentation approach based on the GBS method called Weighted Graph-Based Segmentation (WGBS) is shown. This method is guided by a non-linear discrimination function, the Polynomial Mahalanobis distance, which captures the user-inference, prioritizing during the connecting process the regions with higher similarity to the user selected pattern. The WGBS presents pattern-oriented segmentation results, showing better coherence among the segments with higher similarity to the selected pattern.
Obtained Segmentation Results