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Images conveniently capture the result of physical processes, representingrich source of information for data driven medicine, engineering, and science.The modeling of an image as a graph allows the application of graph-basedalgorithms for content analysis. Amongst these, one of the most used is theDijkstra Single Source Shortest Path algorithm (DSSSP), which computes the pathwith minimal cost from one starting node to all the other nodes of the graph.However, the results of DSSSP remains unknown for nodes until they areexplored. Moreover, DSSSP execution is associated to frequent jumps betweendistant locations in the graph, which results in non-optimal memory access,reduced parallelization, and finally increased execution time. Therefore, wepropose AnyDijkstra, an iterative implementation of the Dijkstra SSSP algorithmoptimized for images, that retains anytime properties while accessing memoryfollowing a cache-friendly scheme and maximizing parallelization.

AnyDijkstra, an algorithm to compute shortest paths on images with anytime properties