کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
533992 870201 2013 7 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Adaptive morphology using tensor-based elliptical structuring elements
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر چشم انداز کامپیوتر و تشخیص الگو
پیش نمایش صفحه اول مقاله
Adaptive morphology using tensor-based elliptical structuring elements
چکیده انگلیسی


• A method for adaptive morphological filtering is presented.
• The Local Structure Tensor is used to define elliptical structuring elements.
• The structuring elements vary from lines to disks depending on local image structure.

Mathematical Morphology is a common strategy for non-linear filtering of image data. In its traditional form the filters used, known as structuring elements, have constant shape once set. Such rigid structuring elements are excellent for detecting patterns of a specific shape, but risk destroying valuable information in the data as they do not adapt in any way to its structure.We present a novel method for adaptive morphological filtering where the local structure tensor, a well-known method for estimation of structure within image data, is used to construct adaptive elliptical structuring elements which vary from pixel to pixel depending on the local image structure. More specifically, their shape varies from lines in regions of strong single-directional characteristics to disks at locations where the data has no prevalent direction.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Pattern Recognition Letters - Volume 34, Issue 12, 1 September 2013, Pages 1416–1422
نویسندگان
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