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Fractal-based texture and HSV color features for fabric image retrieval

机译:基于分形的纹理和HSV颜色特征,用于织物图像检索

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摘要

Wide range of products such as clothing, bed linen, curtains, and shoes, use fabrics as main raw material. Fabrics have various types of materials, colors and patterns. Harmony in combining the various types of fabrics will affect the beauty of the resulted product. A system that can be used to retrieve some fabrics similar to a fabrics sample automatically will facilitate the combining process in creating a product. In this study, a fabrics image retrieval system using combination of fractal-based texture feature and HSV color feature is developed. The Canberra Distance is used to measure similarity between features vectors. The experiment which is done using two kinds of fabrics image datasets, i.e. ???batik??? and ???common???, gives average recall 94% and 92%, respectively.
机译:各种产品,如服装,床单,窗帘和鞋子,使用面料作为主要原料。面料有各种类型的材料,颜色和图案。结合各种类型的织物的和谐会影响所得产品的美。可用于检索类似于织物样本的一些织物的系统自动将促进组合过程创建产品。在本研究中,开发了一种使用分形纹理特征和HSV颜色特征的组合的织物图像检索系统。堪培拉距离用于测量特征向量之间的相似性。使用两种织物图像数据集完成的实验,即蜡染???常见的???,分别给平均召回94%和92%。

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