کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
1697689 | 1012089 | 2013 | 9 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Performance evaluation of multi-scale data fusion methods for surface metrology domain
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
سایر رشته های مهندسی
کنترل و سیستم های مهندسی
پیش نمایش صفحه اول مقاله
![عکس صفحه اول مقاله: Performance evaluation of multi-scale data fusion methods for surface metrology domain Performance evaluation of multi-scale data fusion methods for surface metrology domain](/preview/png/1697689.png)
چکیده انگلیسی
With the rapid evolution of new engineered surfaces, there is a strong need for developing tools to measure and characterize these surfaces at different scales. In order to obtain all meaningful details of the surface at various required scales, data fusion can be performed on data obtained from a combination of instruments or technologies. In order to evaluate the fusion methods, typically, well-recognized images like 'Lena' are used. But surface metrology datasets are distinctly different from those images, as all the data points are in focus, compared to typical images with a subject in focus and background with various levels of out-of-focus. So, a performance study was conducted on a wide range of surface samples and it was shown that Regional Edge Intensity (REI) is the preferred fusion method for surface metrology datasets, and Regional Energy (RE) is the second preferred method, when single-scale performance metrics are considered.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Manufacturing Systems - Volume 32, Issue 4, October 2013, Pages 514-522
Journal: Journal of Manufacturing Systems - Volume 32, Issue 4, October 2013, Pages 514-522
نویسندگان
Suresh K. Ramasamy, Jayaraman Raja,