IEEE Trans Image Process - Optimized block-based connected components labeling with decision trees.

Tópicos

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Resumo

In this paper, we define a new paradigm for eight-connection labeling, which employs a general approach to improve neighborhood exploration and minimizes the number of memory accesses. First, we exploit and extend the decision table formalism introducing OR-decision tables, in which multiple alternative actions are managed. An automatic procedure to synthesize the optimal decision tree from the decision table is used, providing the most effective conditions evaluation order. Second, we propose a new scanning technique that moves on a 2 x 2 pixel grid over the image, which is optimized by the automatically generated decision tree. An extensive comparison with the state of art approaches is proposed, both on synthetic and real datasets. The synthetic dataset is composed of different sizes and densities random images, while the real datasets are an artistic image analysis dataset, a document analysis dataset for text detection and recognition, and finally a standard resolution dataset for picture segmentation tasks. The algorithm provides an impressive speedup over the state of the art algorithms.

Resumo Limpo

paper defin new paradigm eightconnect label employ general approach improv neighborhood explor minim number memori access first exploit extend decis tabl formal introduc ordecis tabl multipl altern action manag automat procedur synthes optim decis tree decis tabl use provid effect condit evalu order second propos new scan techniqu move x pixel grid imag optim automat generat decis tree extens comparison state art approach propos synthet real dataset synthet dataset compos differ size densiti random imag real dataset artist imag analysi dataset document analysi dataset text detect recognit final standard resolut dataset pictur segment task algorithm provid impress speedup state art algorithm

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