کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
532715 869986 2009 17 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Improved bi-dimensional EMD and Hilbert spectrum for the analysis of textures
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر چشم انداز کامپیوتر و تشخیص الگو
پیش نمایش صفحه اول مقاله
Improved bi-dimensional EMD and Hilbert spectrum for the analysis of textures
چکیده انگلیسی

An improved bi-dimensional empirical mode decomposition (IBEMD) is proposed. Structure of image extremas represents the important feature of images, and is useful for the information extraction and analysis. The image extrema are classified into the five different sets, which are called as the structural extrema. The structural extrema are used instead of the classical extrema, and the BEMD (bi-dimensional empirical mode decomposition) algorithms based on the structural extrema are more accurate through interpolating the up and down envelopes. Specially, the IBEMD has the least NMSE (normalised mean square error) and the biggest SNR (signal-to-noise ratio) for the mode decomposition, and greatly improves the robustness of the BEMD. Moreover, quaternion Hilbert transform based space–spatial-frequency tool is improved, and applied to the texture analysis. The experiments of texture analysis show that the new approach is efficient for the application in texture analysis.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Pattern Recognition - Volume 42, Issue 5, May 2009, Pages 718–734
نویسندگان
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