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范文字数:10894.页数:25 摘要 纹理是机器视觉一个很重要的研究领域。从应用角度来讲，纹理广泛应用于自动检测、医学影像处理、文档处理和遥感领域。可见纹理识别已得到了广泛的应用，所以对纹理识别进行研究具有重大的意义。根据技术的发展情况以及实现方法的可行性方面来考虑，本课题采用了统计法中的灰度共生矩阵方法来实现。灰度共生矩阵方法，是建立在估计图像的二阶组合条件概率密度函数基础上的，首先通过灰度图计算出4个角度的灰度共生矩阵，然后计算出每个像元对在灰度共生矩阵中的概率，最后根据能量，熵，惯性矩，相关，局部平稳的计算公式计算出这5个特征值。如此做出来的识别系统，能够比较准确地计算出纹理图像的特征值，对纹理进行识别非常得有效，这也证明了灰度共生矩阵方法是一种很有效的识别纹理的方法。 关键字： 纹理， 纹理识别， 灰度共生矩阵， VC++ Abstract Texture is a very important research field of machine vision. From application perspective, texture is widely used in the field of automatic detection, medical image processing, and document processing and remote sensing. Texture recognition has been widely used, and the research of texture recognition is of great significance. According to the condition of the Technical development and the feasibility of the arithmetic, the subject used Gray co-occurrence matrix method which belongs to the statistical method to achieve. Gray co-occurrence matrix method is based on the second-order conditional probability density function of the estimated image. First, compute the gray co-occurrence matrix of 4 angles from the gray image. Then, compute the probability of every pair pixel in the gray co-occurrence matrix. Finally, compute the 5 Characteristic values according to the formula of energy, entropy, inertia matrix, correlation, and local balance. The recognition system done by this way can calculate the Characteristic value of texture image accurately, and is very effective to recognize texture. This also proves that the co-occurrence matrix method is a very effective method to recognize texture. Keywords: texture, texture recognition， gray co-occurrence matrix, VC++ 目录 摘要 I 点击下载:
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