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首页> 外文期刊>International journal of computer science and network security >Extraction of Shape Components for Classification of Textures Based on Texture Elements
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Extraction of Shape Components for Classification of Textures Based on Texture Elements

机译:基于纹理元素的形状分类的形状成分提取

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摘要

Shape representation or description is a central and challenging problem in Image Processing and Computer Vision which arises in many applications such as image classification, analysis, interpretation etc. Texture is an important spatial feature useful for identifying objects or regions of interest in an image. The present paper derives a new set of texture features, which are shape components derived from the texture elements of a 3x3 mask. The proposed texture elements extract textural information of an image with a more complete respect of texture characteristics in all the eight directions instead of only one displacement vector. The present paper evaluated five simple shape components on each of the derived patterns. The experimental results on the five groups of texture images clearly show the efficacy and simplicity of the present method.
机译:形状表示或描述是图像处理和计算机视觉中的一个中心且具有挑战性的问题,它在诸如图像分类,分析,解释等许多应用中出现。纹理是一种重要的空间特征,可用于识别图像中的对象或感兴趣区域。本文得出了一组新的纹理特征,它们是从3x3蒙版的纹理元素派生而来的形状分量。提出的纹理元素提取的图像纹理信息在所有八个方向上具有更完整的纹理特征,而不仅仅是一个位移矢量。本文评估了每个导出图案上的五个简单形状分量。在五组纹理图像上的实验结果清楚地表明了本方法的有效性和简便性。

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