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。
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.
利用这一系统对典型纹理图象、岩石表面、和航拍市区照片的纹理分割进行了应用研究。
The applications of this system in the segmentation of texture of the typical texture image, rock surface, and bird-view photograph of a city, etc are studied.
深入研究了光学子波变换的实现技术及其在图象特征提取和纹理图象分割等方面的应用。
The techniques for realization of OWT and applications in image feature extraction and texture segmentation are explored thoroughly.
这种算法本质上是从灰度分布来分割物体的算法的推广，它不仅适用于背景纹理灰度与物体表面灰度不同的图象，而且适用于背景平均灰度与物体表面平均灰度相同的图象。
In essence, the algorithm is the extension of those algorithms which segment object in a textured background by assuming the average gray levels of the object and the background are different.
首先构造了一组分形纹理特征，给出了图象不同部分的粗糙度及纹理基地大小、方向特性的描述，以此为基础进行图象分割。
Based on several kinds of fractal characters, we can acquire the description of roughness of each part of the image. Then we can get the segmentation of the image.
首先构造了一组分形纹理特征，给出了图象不同部分的粗糙度及纹理基地大小、方向特性的描述，以此为基础进行图象分割。
Based on several kinds of fractal characters, we can acquire the description of roughness of each part of the image. Then we can get the segmentation of the image.
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