采用传统图像检测方法存在目标区域定位不准确、目标细节信息丢失、目标形状变形等问题，本文提出一种基于离散分数布朗随机场模型的水下图像目标检测方法。
To overcome the shortcomings of traditional methods, a method of underwater image segmentation based on the discrete fractional Brownian random field was proposed to dispose underwater images.
在离散分形布朗随机场(DFBR)理论的基础上，提出一种多分辨率目标识别算法。
Based on the Discrete Fractal Brownian Random Field (DFBR) an algorithm of multiresolution object recognition is presented.
结构的基本设计变量按局部平均随机场理论离散。
The structural basic design variables are discretized according to the local average random field theory.
结构的基本设计变量按局部平均随机场理论离散。
The structural basic design variables are discretized according to the local average random field theory.
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