IEEE Trans Image Process - A Geometric Framework for Rectangular Shape Detection.

Tópicos

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Resumo

Rectangular shape detection has a wide range of applications, such as license plate detection, vehicle detection and building detection. In this paper, we propose a geometric framework for rectangular shape detection based on the channelscale space of RGB images. The framework consists of algorithms developed to address three issues of a candidate shape (i.e., a connected component of edge points), including: i) outliers, ii) open shape, and iii) fragmentation. Furthermore, we propose an interestness measure for rectangular shapes by integrating imbalanced points (one type of interest points). Our experimental study shows the promise of the proposed framework.

Resumo Limpo

rectangular shape detect wide rang applic licens plate detect vehicl detect build detect paper propos geometr framework rectangular shape detect base channelscal space rgb imag framework consist algorithm develop address three issu candid shape ie connect compon edg point includ outlier ii open shape iii fragment furthermor propos interest measur rectangular shape integr imbalanc point one type interest point experiment studi show promis propos framework

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