This article will introduce the plant leaves recognition system with emphasis based on the image texture analysis.
本文将重点介绍基于图像纹理分析的植物叶片识别系统。
Many reports have been made about the applications of fractal theory in the fields of natural image simulation, image texture analysis, pattern recognition etc.
自然图像的模拟，图像纹理分析，模式识别等方面都可见大量的用分形理论来分析和研究的报道。
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。
Image texture analysis of good source code can calculate the second-order texture characteristics: energy, entropy, local stability, inertial distance, and relevance.
详细说明：图像纹理分析的好的源代码，可以计算纹理的二阶特征：能量，熵，局部稳定性，惯性距，和相关性。
Image texture analysis of good source code can calculate the second-order texture characteristics: energy, entropy, local stability, inertial distance, and relevance.
详细说明：图像纹理分析的好的源代码，可以计算纹理的二阶特征：能量，熵，局部稳定性，惯性距，和相关性。
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