基于小波域隐马尔可夫 meaning in Chinese

hmt

Simulation and experimental results using real data are applied to quantitatively and qualitatively compare the proposed method with some typical filtering algorithms . the conclusion is that the wavelet - domain hmms method effectively improves equivalent number of look , preserves spatial resolution of raw imagery
实验结果表明，基于小波域隐马尔可夫模型的相干斑抑制算法有效地提高了等效视数，保持了原始图像的空间分辨率，较其它方法具有更好的视觉效果。
To propose some image segmentation algorithms using wavelet - domain hidden markov tree models . each algorithm includes particular analysis , steps , evaluation of computation and many experiments . it is proved by many experiments that these new image segmentation algorithms are feasible and efficient
提出一些基于小波域隐马尔可夫树模型（ hmt ）的图像分割新算法，每个算法包括详细的分析、算法步骤、计算量评估与实例，结果表明新的hmt分割算法具有可行性与有效性。