基于特征差异的彩色目标SSDA

2012 International Conference on Computer Science and Electronics Engineering Pub Date : 2012-03-23 DOI:10.1109/ICCSEE.2012.387

Ligong Sun, Sujuan Li, Leiming Zhang, Fei Xiang

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引用次数: 0

摘要

提出了一种基于特征差异的彩色目标序列相似性检测算法。分析了基本的SSDA，结合颜色、形状和尺寸的特点，对SSDA进行了改进。实验结果表明，改进的SSDA算法降低了计算复杂度，提高了目标识别精度，具有较好的实时性。

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SSDA for Colored Target Based on Characteristic Differences

The paper proposes a sequential similarity detection algorithm (SSDA) for colored target based on characteristic differences. It analyzes basic SSDA, combines the characteristics of color, shape and size, then improves the SSDA. Experimental results show that the improved SSDA reduces the computational complexity, improves target identification accuracy, with better real-time.

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2012 International Conference on Computer Science and Electronics Engineering

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