A fine granularity dynamic single pixel template algorithm is proposed to resolve blur problem of image rotated by Gaussian template.
针对高斯模板用于图像旋转时，使图像产生模糊的问题，提出细粒度动态单像素模板算法。
Finally simulated annealing algorithm is used to get appropriate template, the MAP estimate of the object pixel intensity can be achieved.
最后运用模拟退火算法选取合适邻域模板对目标点的强度进行MAP估计。
SUSAN algorithm is a new class of parallel boundary segmentation algorithm using the USAN principle, covered by the template target pixel to extract the statistical features.
SUSAN算法是一种新兴的并行边界类分割算法，采用USAN原理，通过对模板覆盖像素的统计来提取目标的特征。
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