کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
10360108 | 869656 | 2005 | 21 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
On the foundations of vision modeling II. Mining of mirror symmetry of 2-D shapes
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
چشم انداز کامپیوتر و تشخیص الگو
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چکیده انگلیسی
Vision can be considered as a feature mining problem. Visually meaningful features are often geometrical, e.g., boundaries (or edges), corners, T-junctions, and symmetries. Mirror symmetry or near mirror symmetry is one of the most common and useful symmetry types in image and vision analysis. The current paper proposes several different approaches for studying 2-dimensional (2-D) mirror symmetric shapes. Proper mirror symmetry metrics are introduced based upon the Lebesgue measure, Hausdorff distance, as well as lower-dimensional feature sets. Theory and computation of these approaches and measures are developed, and numerical results are demonstrated.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Visual Communication and Image Representation - Volume 16, Issue 3, June 2005, Pages 250-270
Journal: Journal of Visual Communication and Image Representation - Volume 16, Issue 3, June 2005, Pages 250-270
نویسندگان
Jianhong Shen,