A HYBRID CRITICAL PATH METHODOLOGY – ABCP (AS BUILT CRITICAL PATH); ITS IMPLEMENTATION AND ANALYSIS WITH ACO FOR MEDICAL IMAGE EDGE DETECTION

Chetan S, H.S Sheshadri, V. Lokesha
2015 Zenodo  
The edge detection in an image has become an imminent process, with the edge of an image containing the important information related to a particular image such as the pixel intensity value, minimal path deciding factors, etc. This requires a specific methodology to guide in the detection of the edges, assign a Critical Path with a minimal path set and their respective energy partitions. The basis for this approach is the Optimized Ant Colony Algorithm [2], guiding through the various optimized
more » ... e various optimized structure in the edge detection of an image. Here we have considered the scenario with respect to a Medical Image, as the information contained in the obtained medical image is of high value and requires a redundant loss in information pertaining to the medical image obtained through various modalities. A proper plan with a minimal set as Critical Path, analysis with respect to the Power partitions or the Energy partitions with the minimal set, computation of the total time taken by the algorithm to detect an edge and retrieve the data with respect to the edge of a medical image, cumulatively considering the cliques, trade-offs in the intensity and the number of iterations required to detect an edge in an image, with or without the presence of suitable noise factors in the image are the necessary aspects being addressed in this paper. This paper includes an efficient hybrid approach to address the edge detection within an image and the consideration of various other factors, including the Shortest path out of the all the paths being produced during the traversing of the ants within a medical image, evaluation of the time duration empirically produced by the ants in traversing the entire image. We also construct a hybrid mechanism called ABCP (As Built Critical Path) factor to show the deviation produced by the algorithm in covering the entire medical image, for the metrics such as the shortest paths, computation time stamps obtained eventually and the planned schedules. This paper addresses the meta-heuristic process of an [...]
doi:10.5281/zenodo.3597196 fatcat:64kh3vdpj5fipboqbnujqynkqy