Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Research Article Heuristic Enhancement of Magneto-Optical Images for NDE | Hindawi Publishing Corporation EURASIP Journal on Advances in Signal Processing Volume 2010 Article ID 485695 11 pages doi 2010 485695 Research Article Heuristic Enhancement of Magneto-Optical Images for NDE Matteo Cacciola Giuseppe Megali Diego Pellicano Salvatore Calcagno Mario Versaci and Francesco Carlo Morabito DIMET Department Faculty of Engineering University Mediterranea of Reggio Calabria Via Graziella Feo di Vito 89100 Reggio Calabria Italy Correspondence should be addressed to Matteo Cacciola Received 31 December 2009 Revised 15 May 2010 Accepted 26 August 2010 Academic Editor Joao Marcos A. Rebello Copyright 2010 Matteo Cacciola et al. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited. The quality of measurements in nondestructive testing and evaluation plays a key role in assessing the reliability of different inspection techniques. Each different technique like the magneto-optic imaging here treated is affected by some special types of noise which are related to the specific device used for their acquisition. Therefore the design of even more accurate image processing is often required by relevant applications for instance in implementing integrated solutions for flaw detection and characterization. The aim of this paper is to propose a preprocessing procedure based on independent component analysis ICA to ease the detection of rivets and or flaws in the specimens under test. A comparison of the proposed approach with some other advanced image processing methodologies used for denoising magneto-optic images MOIs is carried out in order to show advantages and weakness of ICA in improving the accuracy and performance of the rivets flaw detection. 1. Introduction For both improving manufacturing quality and guaranteeing safety devices components and structures are
