Adaptive-threshold region merging via path scanning

Region merging algorithms commonly produce results that are seen to be far below the current commonly accepted state-of-the-art image segmentation techniques. The main challenging problem is the selection of an appropriate and computationally efficient method to control resolution and region homogeneity. In this paper we present a region merging algorithm that includes a semi-greedy criterion and an adaptive threshold to control segmentation resolution. In addition we present a new relative performance indicator that compares algorithm performance across many metrics against the results from human segmentation. Qualitative (visual) comparison demonstrates that our method produces results that outperform existing leading techniques.

Casting a Critical 'I' Over Caffrey's Irish Ale: Soft Words, Strongly Spoken

By employing a research approach, known as subjective personal introspection - the critical "I" - four co-researchers wrote extensive autobiographical essays on their responses to an advertisement for Caffrey's Irish Ale. By delving in the shamelessly subjective this paper draws out the main themes by comparing, contrasting and critiquing the introspective insights of these four critical "I's". In doing so, it demonstrates that there can be no grounded interpretations of an advertising text, that the critical "I" can yield uniquely illuminating insights, and that its chief power, as a research method, lies in its capacity for creativity, imagination and discovery.