Enhancing the runtime of JUDOCA detector
Mohamed Gabr, Rimon Elias · 2016
In this work, two enhancement methods are proposed to speed up junction detection performed by the JUDOCA detector. The first enhancement method minimizes the number of junction candidates on which the circular kernel is applied. This is achieved by introducing a suppression technique that takes both the thin and thick edge images into consideration. The second method works on relaxing the step of checking the edge continuity. Instead of traversing the edge pixel by pixel, using Bresenham's algorithm, sample pixels along the edge are considered. Test results show that an enhancement factor of 62% to 75% in runtime can be reached as a result of applying both enhancements.