基于傅立叶谱的分形描述子在纹理分析中的应用
Fractal Descriptors Based on Fourier Spectrum Applied to Texture Analysis
摘要：
这项工作提出了一种新的技术的开发和研究用于纹理分析的分形描述符的生成。新的描述符是从多尺度变换应用到傅立叶技术的分形维数演算。图像的傅里叶变换的功率谱以对数-对数尺度相对于频率绘制，并且多尺度变换被应用于该曲线。得到的值作为图像的分形描述符。验证的建议是通过使用的描述符的纹理图像的数据集的分类，其真实的类是以前已知的。分类精度相比，其他分形描述符在文献中已知的。实验结果证实了该方法的有效性。
英文摘要：
This work proposes the development and study of a novel technique for the generation of fractal descriptors used in texture analysis. The novel descriptors are obtained from a multiscale transform applied to the Fourier technique of fractal dimension calculus. The power spectrum of the Fourier transform of the image is plotted against the frequency in a log- log scale and a multiscale transform is applied to this curve. The obtained values are taken as the fractal descriptors of the image. The validation of the propose is performed by the use of the descriptors for the classification of a dataset of texture images whose real classes are previously known. The classification precision is compared to other fractal descriptors known in the literature. The results confirm the efficiency of the proposed method.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
