Saskatchewan Univ., Saskatoon, Sask.
IEEE Trans Med Imaging. 1993;12(1):108-23. doi: 10.1109/42.222674.
A multiresolution texture segmentation (MTS) approach to image segmentation that addresses the issues of texture characterization, image resolution, and time to complete the segmentation is presented. The approach generalizes the conventional simulated annealing method to a multiresolution framework and minimizes an energy function that is dependent on the resolution of the size of the texture blocks in an image. A rigorous experimental procedure is also proposed to demonstrate the advantages of the proposed MTS approach on the accuracy of the segmentation, the efficiency of the algorithm, and the use of varying features at different resolution. Semireal images, created by sampling a series of diagnostic ultrasound images of an ovary in vitro, were tested to produce statistical measures on the performance of the approach. The ultrasound images themselves were then segmented to determine if the approach can achieve accurate results for the intended ultrasound application. Experimental results suggest that the MTS approach converges faster and produces better segmentation results than the single-level approach.
提出了一种多分辨率纹理分割（MTS）方法，用于图像分割，该方法解决了纹理特征描述、图像分辨率和完成分割所需时间的问题。该方法将传统的模拟退火方法推广到多分辨率框架中，并最小化依赖于图像中纹理块大小分辨率的能量函数。还提出了严格的实验过程，以证明所提出的 MTS 方法在分割精度、算法效率以及在不同分辨率下使用不同特征方面的优势。通过对一系列体外卵巢诊断超声图像进行采样，创建了半真实图像，以生成有关该方法性能的统计量。然后对超声图像进行分割，以确定该方法是否可以针对预期的超声应用获得准确的结果。实验结果表明，MTS 方法比单级方法收敛速度更快，产生的分割结果更好。
