کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
723915 892356 2007 6 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
HIDDEN MARKOV RANDOM FIELD, AN APPLICATION TO RAILWAY INFRASTRUCTURE DIAGNOSIS
موضوعات مرتبط
مهندسی و علوم پایه سایر رشته های مهندسی مکانیک محاسباتی
پیش نمایش صفحه اول مقاله
HIDDEN MARKOV RANDOM FIELD, AN APPLICATION TO RAILWAY INFRASTRUCTURE DIAGNOSIS
چکیده انگلیسی

Hidden Markov Random Fields (HMRF) are widely used in solving various problems. Image segmentation is an example of such HMRF success. This paper presents a post-processing tool based on such a model and designed to increase the relevancy of a diagnosis system for rail defects detection. In this application, the hidden Markov field is not only used to define a spatial smoothness prior as it is often done in image segmentation, but it is used to learn the spatial interaction between track singular points, and so the track label patterns. For this, an approach based on a semi-parametric model is presented.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: IFAC Proceedings Volumes - Volume 40, Issue 6, 2007, Pages 13–18
نویسندگان
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