基于深度神经网络的Loei织物织造模式识别

Narong Boonsirisumpun, Wichai Puarungroj
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引用次数: 7

摘要

泰国传统梭织织品是手工艺产品,体现了泰国民族文化的繁荣和民族的创造力。许多省份都有自己悠久的手工织布图案的编织风格。其中一个著名的省份是洛伊。几个村庄在编织图案上有自己独特的风格:大莱、大坝或大略。当地人能够识别和区分这些织物组之间的差异,但对于其他地区的人,特别是游客来说,就不容易区分它们了。此外,最复杂的是训练机器分辨这些织物图案之间的区别。机器对物体的身份进行分类一直是模式识别和图像分类领域的难题。而深度神经网络在图像识别方面的流行算法的进步为解决这些问题提供了新的机会,并大大提高了结果。在本文中,我们提出应用深度神经网络技术来解决泰国罗伊织物的模式识别问题。帮助机器识别当地的编织风格,让游客了解每个地方独有的传统。
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Loei Fabric Weaving Pattern Recognition Using Deep Neural Network
The Thai traditional woven fabrics are handicraft products indicate the flourish of Thai national culture and creativity of the nation. Many provinces have a long history of their own patterns on hand-woven fabric weaving style. One of the well-known provinces is Loei. Several villages produce their own unique styles in the woven pattern: Tai Loei, Tai Dam, or Tai Lue. Local people are able to recognize and distinguish the difference between these fabric groups but it is not easy for people from other areas, especially tourists to discriminate them. Moreover, the most complicated one is to train a machine to tell the difference between these fabric patterns. The issues about machine to classify the identity of something used to be the difficult problem in the area of pattern recognition and image classification. But the advancement in the popular algorithms of Deep Neural Network on image recognition opens the new opportunity to accomplish these problems with the greatly improved result. In this paper, we proposed to apply the Deep Neural Network techniques to solve Thai Loei woven fabric pattern recognition problem. For helping the machine to recognize the local weaving style and for the tourist to understand the exclusive on each local tradition.
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