首页> 外文期刊>Indonesian Journal of Computing and Cybernetics Systems >Analisis Tekstur untuk Klasifikasi Motif Kain (Studi Kasus Kain Tenun Nusa Tenggara Timur)
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Analisis Tekstur untuk Klasifikasi Motif Kain (Studi Kasus Kain Tenun Nusa Tenggara Timur)

机译:织物图案分类的质构分析(东努沙登加拉州机织织物案例研究)

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摘要

Indonesia have many culture in the form of traditional fabrics, one of them is woven fabric from Nusa Tenggara Timur (NTT). Each NTT ethnic has motif characteristic which ismanifestation of daily life, culture and the faith of local people. For a NTT woven fabric observer, the origin of a woven fabric can be known from the motif. But its difficult to recognising the origin of a woven fabrics because it is hard to define the characteristics of woven fabric motif from a region and wide variety of existing woven fabric motifs and also color composition. Texture analysis is image analysis technique based on assumption that an image formed by the variation of pixels intensity, both gray and color image. Woven fabric motif formed by the variation of color intensity that can be seen as color texture of the woven fabric. This study aims to determine between texture analysis using GLCM combined with color moment and texture analysis using CCM, which method gives better results for the NTT woven fabric motif classification. The results showed that for the NTT woven fabric motif classification, texture analysis using CCM gives better results than the texture analysis using GLCM combined with color moment. ?.
机译:印尼有许多传统织物形式的文化,其中之一是努沙登加拉帖木儿(NTT)的机织织物。每个NTT种族都有主题特征,体现了日常生活,文化和当地人民的信仰。对于NTT机织织物的观察者,可以从图案中得知机织织物的起源。但是,由于难以从一个区域和各种各样的现有织物图案以及颜色组成来定义织物图案的特征,因此难以识别织物的起源。纹理分析是基于以下假设的图像分析技术:图像是由像素强度的变化形成的,包括灰度图像和彩色图像。通过颜色强度变化形成的机织织物图案,可以看作机织织物的颜色纹理。本研究旨在确定使用GLCM结合色矩进行纹理分析与使用CCM进行纹理分析之间的关系,该方法可为NTT机织织物图案分类提供更好的结果。结果表明,对于NTT机织物图案分类,使用CCM进行的纹理分析比使用GLCM结合色矩的纹理分析提供更好的结果。 ?

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