Artificial life: a new approach to texture classification
Artificial life: a new approach to texture classification
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DOI：
10.1142/s021800140500406x
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发表时间：
2005-05
期刊：
影响因子：
--
通讯作者：
Duo Zhang;Y. Chen
中科院分区：
文献类型：
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作者：
Duo Zhang;Y. Chen
本文提出了一种新的图像纹理分类方法，它涉及到一个人工生物模型，即人工爬虫（ACrawlers）和一系列的演化曲线表示的纹理特征。分布的ACrawler与它们的生存环境（即纹理区域）局部地相互作用，并且每个ACrawler根据一组同质规则进行各向同性运动、能量吸收和群体形成等。ACrawler通过自然选择进化，产生特定的Agent进化、栖息地定居和群体形成曲线以及所有群体的规模分布。实验证明了该方法的可行性和有效性。
This paper presents a novel approach to image texture classification, which involves a model of artificial organisms i.e. Artificial Crawlers (ACrawlers) and a series of evolution curves representing the features of the texture. The distributed ACrawlers locally interact with their living environment, i.e. textured regions, and each ACrawler acts according to a set of homogenous rules for isotropic motion, energy absorption and colony formation, etc. The ACrawlers evolve through natural selection, which produces the specific curves of agent evolution, habitant settlement and colony formation as well as the scale distribution of all colonies. The feasibility and effectiveness of the proposed method have been demonstrated by experiments.