Fusion of fuzzy heuristic and particle swarm optimization as an edge detector

• Published in: 2010 International Conference on Information Retrieval and Knowledge Management pp. 250 - 254
• Main Authors: Khalid, Noor Elaiza Abdul, Manaf, Mazani, Aziz, Mohd Ezane
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.03.2010
• Subjects: Bones; Detectors; Diagnostic radiography; Fuzzy; Heuristic algorithms; Hospitals; Image edge detection; Particle swarm optimization; Radiographs; Radiology; Testing; tubular bone; Vision; Working environment noise
• ISBN: 9781424456505; 1424456509
• DOI: 10.1109/INFRKM.2010.5466909

The purpose of this paper is to study the effectiveness of a fusion of fuzzy heuristic edge detection technique into particle swarm optimization. In this paper we experiment on various fuzzy membership threshold values to understand the impact of these threshold on the final optimized edge detected. The testing data used are hand radiograph images. The main aim of the experiment is to detect the left and right outer cortical (OC) and the left and right inner cortical (IC). The success of the edge detection method is determined using a line scan across the longitudinal of the metacarpal. It is consider successful when all four compete edges are detected. Eighty line scan are taken from each metacarpal images. The evaluation of the complete line scan demonstrates a high success rate in detecting the bone edges.