In view of the faults of complex calculation and long operation time existed in the present texture analysis algorithms, a new image texture analysis algorithm is proposed.
针对目前的纹理分析算法普遍存在计算复杂、运行时间过长的缺点，提出了一种新的图像纹理分析算法。
In this paper, depending on available theory and literature, it studied a kind of measuring system of facial skin condition based on statistical feature analysis of image texture.
本文在现有的理论和文献基础上，研究了一种基于图像纹理统计特征分析的面部皮肤状态检测系统。
A digital texture analysis technique of ocean wave image is presented.
本文对海洋波浪图象作数字纹理分析。
Texture analysis plays an important role in image analysis and pattern recognition, and texture description is a basic research topic of texture analysis.
纹理分析在图象分析和模式识别中起着非常重要的作用，而纹理描述又是其中一个基础的研究课题。
Base on generalization and analysis of co-occurrence matrix algorithms, a method is proposed that could make fast acquisition of target image texture features and thus implement image retrieval.
在总结和分析共生矩阵算法的基础上，提出了一个快速获取目标图像纹理特征，进而实现图像检索的方法。
Texture image segmentation is foundation of image analysis, model recognition and computer vision, which is also a classic problem.
纹理分割是图像分析、模式识别、计算机视觉等领域的基础，也是个经典难题。
Texture analysis is a basic issue in image processing and computer vision, and how to attain the rotation-invariant texture characterization is a key problem.
纹理分析是图像处理和机器视觉中的一个基本要素，而如何获得其中的纹理旋转不变性描述则是其中的重要环节。
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。
Gray level co-occurrence matrix is a very important method in image texture analysis.
灰度共生矩阵法是图像纹理分析中一种十分重要的方法。
In this paper, a new multifractal algorithm is proposed based on sub-pixel edge measure. The method can precisely divide the image from texture to edge for image singularity analysis.
本文提出了一种基于亚像素边缘测度的多重分形算法，应用于图像奇异性分析中可以实现从纹理到边缘各层面的精确划分。
In this paper, a new multifractal algorithm is proposed based on sub-pixel edge measure. The method can precisely divide the image from texture to edge for image singularity analysis.
本文提出了一种基于亚像素边缘测度的多重分形算法，应用于图像奇异性分析中可以实现从纹理到边缘各层面的精确划分。
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