• In this paper we discuss the mechanism of using Fourier transform on texture identification and then suggest a texture image segmentation algorithm based on Fourier transform.

    讨论了傅氏变换应用于纹理识别的机理,并基于此提出了一种图象分割算法。

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  • This paper proposes an algorithm based on curve evolution for unsupervised texture segmentation.

    提出了一种基于曲线演化的非监督式纹理分割算法。

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  • In order to overcome the weakness of statistical texture segmentation method, a new unsupervised texture segment algorithm, based on multi-resolution statistical model, was present.

    针对基于统计的纹理分割算法存在的不足,提出了一种新的多分辨模型下的无监督统计纹理分割算法。

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  • Most existing texture segmentation approaches focus on gray texture images, while this paper presents a color texture image segmentation method, which is based on fractal theory and BP neural network.

    现有的纹理分割方法大多集中于研究灰度纹理图像,文中提出一种基于分形理论和BP神经网络的彩色纹理图像分割方法。

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  • This paper proposes a novel algorithm for segmentation of texture image based on variogram function.

    本文基于变差函数提出一种图像纹理分割的新方法。

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  • An effective method for image segmentation based on color and texture features is proposed.

    文章提出了一种有效的基于颜色和纹理综合特征的图像分割方法。

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  • A new method based on least squares and region segmentation is proposed to retrieve and compare the texture features of multi-spectral images in this paper.

    该文提出一种基于最小二乘及区域分割的多光谱图像纹理特征提取与比较的方法。

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  • The frequency-domain filter is designed to remove normal texture information, based on the image reconstruction, fabric normal texture and defects are isolated by image segmentation.

    设计频域滤波器抑制正常纹理频谱信息,通过重构对灰度图像进行分割,实现疵点与正常织物纹理的分离。

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  • Compared with the geometric moment-based texture segmentation, we can reduce the error rates using orthogonal moments.

    和基于几何矩的纹理分割相比,用正交矩可以降低分割错误率。

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  • A new segmentation of image based on the feature of reduced texture spectrum is proposed.

    提出了基于约简纹理谱特征值的分割方法。

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  • OBJECTIVE: a new texture analysis method is proposed, based on a minimum-variance energy map, to suppress the effect of tag lines on image segmentation.

    目的:为了抑制标记线对图像分割的影响,提出了一种基于最小值-方差能量图的纹理分析方法。

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  • With this element, We constructed a compact and smart multi-channel texture segmentation system based on principle of optical wavelet transform.

    结合光学子波变换原理,构建了一个紧凑小型的多通道纹理图象处理系统,给出了设计与实验结果。

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  • Firstly, texture and shape features are extracted at the pixel level, and spectral features are extracted at the object level based on multi-scale image segmentation maps.

    首先在画素级上提取影像的纹理和形状结构特征,在构建的多尺度分割集影像上提取物件的区域光谱特征。

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  • Firstly, texture and shape features are extracted at the pixel level, and spectral features are extracted at the object level based on multi-scale image segmentation maps.

    首先在画素级上提取影像的纹理和形状结构特征,在构建的多尺度分割集影像上提取物件的区域光谱特征。

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