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Recognition algorithm for the unknown target rejection based on shape statistics obtained from orthogonal distance function
Recognition algorithm for the unknown target rejection based on shape statistics obtained from orthogonal distance function
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机译:基于正交距离函数得到的形状统计信息的未知目标剔除识别算法
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摘要
A method for classification of a target object having a periphery comprises the steps of: selecting a plurality of random first chords D1 across the periphery of the target object; measuring each of the first chords D1 to obtain a plurality of first dimensions; computing for each of the first chords D1 a second chord D2 across the periphery thus forming a plurality of D1, D2 pairs of chords; measuring the second chords D2 for all pairs to obtain second dimensions; computing for each of the pairs of first chords D1 and second chords D2 the ratio D1/D2 of the first dimension to the second dimension to obtain a plurality of first values; computing the logarithm of the first values to obtain a plurality of logarithmic values; computing difference values by subtracting the second dimension from the first dimension for each of the pairs; recording the first values, logarithmic values and difference values in histograms; extracting a vertex lists from the histograms; combining one or more of the vertex lists to obtain a signature indicative of the classification of the object target. For each of the pairs, the second chords are orthogonal to the first chords, and the second chords share a point with the first chords and the periphery. 展开▼