{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,12]],"date-time":"2025-10-12T04:36:43Z","timestamp":1760243803902,"version":"build-2065373602"},"reference-count":32,"publisher":"MDPI AG","issue":"3","license":[{"start":{"date-parts":[[2011,3,16]],"date-time":"2011-03-16T00:00:00Z","timestamp":1300233600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/3.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>Because of the perceived lack of systematic analysis in illumination system design processes and a lack of criteria for design methods in vision detection a method for the design of a task-oriented illumination system is proposed. After detecting the micro-defects of a gyroscope pivot bearing with a high curvature glabrous surface and analyzing the characteristics of the surface detection and reflection model, a complex illumination system with coaxial and ring lights is proposed. The illumination system is then optimized based on the analysis of illuminance uniformity of target regions by simulation and grey scale uniformity and articulation that are calculated from grey imagery. Currently, in order to apply the Pulse Coupled Neural Network (PCNN) method, structural parameters must be tested and adjusted repeatedly. Therefore, this paper proposes the use of a particle swarm optimization (PSO) algorithm, in which the maximum between cluster variance rules is used as fitness function with a linearily reduced inertia factor. This algorithm is used to adaptively set PCNN connection coefficients and dynamic threshold, which avoids algorithmic precocity and local oscillations. The proposed method is used for pivot bearing defect image processing. The segmentation results of the maximum entropy and minimum error method and the one described in this paper are compared using buffer region matching, and the experimental results show that the method of this paper is effective.<\/jats:p>","DOI":"10.3390\/s110303227","type":"journal-article","created":{"date-parts":[[2011,3,16]],"date-time":"2011-03-16T07:24:32Z","timestamp":1300260272000},"page":"3227-3248","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":6,"title":["Gyroscope Pivot Bearing Dimension and Surface Defect Detection"],"prefix":"10.3390","volume":"11","author":[{"given":"Wenqian","family":"Ge","sequence":"first","affiliation":[{"name":"Precision Opto-Mechatronics Technology, Key-Laboratory of Education Ministry, Beijing University of Aeronautics and Astronautics, Beijing 100191, China"}]},{"given":"Huijie","family":"Zhao","sequence":"additional","affiliation":[{"name":"Precision Opto-Mechatronics Technology, Key-Laboratory of Education Ministry, Beijing University of Aeronautics and Astronautics, Beijing 100191, China"}]},{"given":"Xudong","family":"Li","sequence":"additional","affiliation":[{"name":"Precision Opto-Mechatronics Technology, Key-Laboratory of Education Ministry, Beijing University of Aeronautics and Astronautics, Beijing 100191, China"}]}],"member":"1968","published-online":{"date-parts":[[2011,3,16]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"171","DOI":"10.1016\/S0262-8856(02)00152-X","article-title":"A Survey on Industrial Vision Systems, Applications and Tools","volume":"21","author":"Elias","year":"2003","journal-title":"Image Vis. Comput"},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"185","DOI":"10.1016\/S0166-3615(01)00143-9","article-title":"Roundness Measurement for Discontinuous Perimeters via Machine Vision","volume":"4","author":"Chen","year":"2002","journal-title":"Comput. Indust"},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"49","DOI":"10.1016\/S0166-3615(01)00113-0","article-title":"Automated Inspection of Gaps on the Automobile Production Line Through Stereo Vision and Specula Reflection","volume":"46","author":"Dimitrios","year":"2001","journal-title":"Comput. Indust"},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"1771","DOI":"10.1016\/j.eswa.2007.08.085","article-title":"The Feature Extraction and Analysis of Flaw Detection and Classification in BGA Gold-Plating Areas","volume":"35","author":"Yih","year":"2008","journal-title":"Expert Syst. Appl"},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"60","DOI":"10.1016\/S0043-1648(00)00442-7","article-title":"Identification of Surface Features on Cold-Rolled Stainless Steel Strip","volume":"244","author":"Ahmed","year":"2000","journal-title":"Wear"},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"333","DOI":"10.1007\/s10044-004-0232-3","article-title":"Detection of Surface Defects on Raw Steel Blocks Using Bayesian Network Classifiers","volume":"7","author":"Franz","year":"2004","journal-title":"Patt. Anal. Appl"},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"255","DOI":"10.1016\/j.autcon.2006.05.003","article-title":"Auto Inspection System Using a Mobile Robot for Detecting Concrete Cracks in a Tunnel","volume":"16","author":"Seung","year":"2007","journal-title":"Autom. Const"},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"335","DOI":"10.1016\/j.ndteint.2004.10.007","article-title":"Estimated Accuracy of Classification of Defects Detected in Welded Joints by Radiographic Tests","volume":"38","author":"Romeu","year":"2005","journal-title":"NDT&E Int"},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"1645","DOI":"10.1016\/S0031-3203(03)00005-0","article-title":"Neural Network Based Detection of Local Textile Defects","volume":"36","author":"Kumar","year":"2003","journal-title":"Patt. Recog"},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"157","DOI":"10.1016\/S0168-1699(03)00049-8","article-title":"Image Segmentation Algorithms Applied to Wood Defect Detection","volume":"41","author":"Funck","year":"2003","journal-title":"Comput. Elect. Agr"},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"43","DOI":"10.1023\/A:1023982907874","article-title":"A Supervisory Wafer-Level Microassembly System for Hybrid MEMS Fabrication","volume":"37","author":"Yang","year":"2003","journal-title":"J. Intell. Rob. Syst"},{"key":"ref_12","first-page":"1376","article-title":"Analysis and Optimal Design of Illuminator for Lead Fess Tin Solder Joint Inspection","volume":"16","author":"Lu","year":"2008","journal-title":"Opt. Precis. Eng"},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"720","DOI":"10.1016\/j.imavis.2005.12.016","article-title":"Lighting Design for Machine Vision Application","volume":"24","author":"Sunil","year":"2006","journal-title":"Image Vis. Comput"},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"64","DOI":"10.1117\/12.530683","article-title":"Machine Vision System for Surface Inspection on Brushed Industrial Parts","volume":"5303","author":"Bonnot","year":"2004","journal-title":"Proc. SPIE"},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"73","DOI":"10.1088\/0957-0233\/18\/9\/N01","article-title":"Optical Inspection of Ball Bearing Defects","volume":"18","author":"Ng","year":"2007","journal-title":"Measur. Sci. Technol"},{"key":"ref_16","first-page":"391","article-title":"Effects of Illumination on Image Quality in Precision Vision Measurement","volume":"43","author":"Wu","year":"2009","journal-title":"J. Shanghai Jiaotong Univ"},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"2986","DOI":"10.1016\/j.neucom.2007.04.015","article-title":"A Mixed Noise Image Filtering Method Using Weighted-Linking PCNNs","volume":"71","author":"Ji","year":"2008","journal-title":"Neurocomputing"},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"131","DOI":"10.1007\/s00138-007-0113-z","article-title":"A Simplified Pulse-Coupled Neural Network for Adaptive Segmentation of Fabric Defects","volume":"20","author":"Shi","year":"2009","journal-title":"Mach. Vision Appl"},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"2596","DOI":"10.1016\/j.sigpro.2009.04.027","article-title":"Fusion of Multiparametric SAR Images Based on SW-Nonsubsampled Contourlet and PCNN","volume":"89","author":"Yang","year":"2009","journal-title":"Sign. Process"},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"25","DOI":"10.1007\/s11063-007-9057-6","article-title":"Feature Extraction Using Unit-Linking Pulse Coupled Neural Network and its Applications","volume":"27","author":"Gu","year":"2008","journal-title":"Neural Process. Lett"},{"key":"ref_21","first-page":"69790M-1","article-title":"Using a Genetic Algorithm to Find an Optimized Pulse Coupled Neural Network Solution","volume":"6979","author":"Richard","year":"2008","journal-title":"Proc SPIE"},{"key":"ref_22","unstructured":"Kennedy, J, and Eberhart, RC (December, January 27). Particle Swarm Optimization. Perth, Australia."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"1917","DOI":"10.1016\/j.patcog.2009.12.005","article-title":"Anisotropic Diffusion with Generalized Diffusion Coefficient Function for Defect Detection in Low-Contrast Surface Images","volume":"43","author":"Chao","year":"2010","journal-title":"Patt. Recogn"},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"611","DOI":"10.1109\/34.85654","article-title":"Surface Reflection: Physical and Geometrical Perspectives","volume":"13","author":"Nayar","year":"1991","journal-title":"IEEE Tran. Patt. Anal. Mach. Intell"},{"key":"ref_25","first-page":"667","article-title":"Visual Inspection of Machined Metallic High-Precision Surfaces","volume":"7","author":"Franz","year":"2002","journal-title":"EURASIP J. Appl. Sign. Process"},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"195","DOI":"10.1002\/cyto.990120302","article-title":"Comparison of Autofocus Methods for Automated Microscopy","volume":"12","author":"Firestone","year":"2001","journal-title":"Cytometry"},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"480","DOI":"10.1109\/72.761706","article-title":"PCNN Models and Applications","volume":"2","author":"Johnson","year":"1999","journal-title":"IEEE Trans. Neural Netw"},{"key":"ref_28","first-page":"807","article-title":"A New Approach to Image Segmentation Based on Simplified Region Growing PCNN","volume":"205","author":"Lu","year":"2008","journal-title":"Appl. Math. Comput"},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"235","DOI":"10.1023\/A:1016568309421","article-title":"Recent Approaches to Global Optimization Problems through Particle Swarm Optimization","volume":"1","author":"Parsopoulos","year":"2002","journal-title":"Nat. Comput"},{"key":"ref_30","unstructured":"Shi, Y, and Eberhart, R (1998, January 4\u20139). A Modified Particle Swarm Optimizer. Anchorage, AK, USA."},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"58","DOI":"10.1016\/j.autcon.2005.02.006","article-title":"Automated Detection of Cracks in Buried Concrete Pipe Images","volume":"15","author":"Sunil","year":"2006","journal-title":"Autom. Construct"},{"key":"ref_32","doi-asserted-by":"crossref","unstructured":"McGlone, C, and Shufelt, J (1994). Projective and Object Space Geometry Formonocular Building Extraction. Comput Vis Patt Recogn.","DOI":"10.1109\/CVPR.1994.323810"}],"container-title":["Sensors"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/1424-8220\/11\/3\/3227\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T21:55:33Z","timestamp":1760219733000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/1424-8220\/11\/3\/3227"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2011,3,16]]},"references-count":32,"journal-issue":{"issue":"3","published-online":{"date-parts":[[2011,3]]}},"alternative-id":["s110303227"],"URL":"https:\/\/doi.org\/10.3390\/s110303227","relation":{},"ISSN":["1424-8220"],"issn-type":[{"type":"electronic","value":"1424-8220"}],"subject":[],"published":{"date-parts":[[2011,3,16]]}}}