IEEE Trans Image Process - Multiscale distance matrix for fast plant leaf recognition.

Tópicos

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Resumo

In this brief, we propose a novel contour-based shape descriptor, called the multiscale distance matrix, to capture the shape geometry while being invariant to translation, rotation, scaling, and bilateral symmetry. The descriptor is further combined with a dimensionality reduction to improve its discriminative power. The proposed method avoids the time-consuming pointwise matching encountered in most of the previously used shape recognition algorithms. It is therefore fast and suitable for real-time applications. We applied the proposed method to the task of plan leaf recognition with experiments on two data sets, the Swedish Leaf data set and the ICL Leaf data set. The experimental results clearly demonstrate the effectiveness and efficiency of the proposed descriptor.

Resumo Limpo

brief propos novel contourbas shape descriptor call multiscal distanc matrix captur shape geometri invari translat rotat scale bilater symmetri descriptor combin dimension reduct improv discrimin power propos method avoid timeconsum pointwis match encount previous use shape recognit algorithm therefor fast suitabl realtim applic appli propos method task plan leaf recognit experi two data set swedish leaf data set icl leaf data set experiment result clear demonstr effect effici propos descriptor

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