As the main difficulty in small target image segmentation is analyzed by using routine method, a new method basing on two-time segmentation of the processed images is applied.
研究分析了常规分割算法在低对比度弱小目标图像分割中存在的主要困难，提出了对预处理和图像采取两级分割的方法。
However, the centroid tracking algorithm based on the image gray-mean segmentation fails when tracking small target images.
但是这种基于图像灰度均值分割的形心跟踪算法对于小目标图像都会跟踪失败。
Utilizing MRF (Markov Random Field) model to introduce the pixel's local context information, a quite accurate segmentation of SAR target chip image is realized.
文中通过利用马尔可夫随机场模型，引入图像象素的局部结构信息，有效实现了SAR目标切片图像的高精度分割。
应用推荐