کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
530548 869774 2013 7 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Label propagation based supervised locality projection analysis for plant leaf classification
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر چشم انداز کامپیوتر و تشخیص الگو
پیش نمایش صفحه اول مقاله
Label propagation based supervised locality projection analysis for plant leaf classification
چکیده انگلیسی

The label propagation has the benefits of nearly-linear running time and easy implementation. In this paper, we make use of the label propagation to propose a new weight measure, and present a supervised locality projection analysis (SLPA) method for plant leaf classification. Firstly, we apply Warshall algorithm to label propagation and get the label matrix, then incorporate it into the weight, which has a clear physical meaning. Secondly, multi-class data points in high-dimensional space are to be pulled or pushed by discriminant neighbors to form an optimum projecting to low dimensionality. Finally, the experimental results on two plant leaf databases show that the proposed method is quite effective and feasible.


► Applying Warshall algorithm to label propagation and obtain the label matrix.
► Incorporate the label matrix into the weight, which has clear physical meaning.
► We integrate the class information of all points before computing the weight.
► Multi-class data points are to be pulled or pushed by discriminant neighbors.
► We apply the method to leaf classification.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Pattern Recognition - Volume 46, Issue 7, July 2013, Pages 1891–1897
نویسندگان
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