传统网格聚类方法由于没有考虑到相邻网格内的数据点对考查网格的影响，存在不能平滑聚类以及聚类边界判断不清的情况。
Traditional grid clustering methods fail to consider the affect of neighbored grids, and may result in unsmoothed clustering, wrong judgement of clustering boundary, etc.
滑移边界条件下的模拟结果具有良好的周期性，各个周期的过渡性也更加平滑，与实际情况更加接近。
The simulation has good period property, the transition between each period is more smooth and is more close to the real result.
针对边界部分有重叠的图象，提出了一种基于网格匹配的快速对准算法，并通过平滑因子对图象实现了无缝拼接。
In this paper, we present a fast stitching algorithm for the overlapping images based on grid matching, which makes images matching correctly, stitching images seamless and smooth.
提出宫颈癌细胞图象的数据采集，原始图象的平滑与边缘增强、分割与边界跟踪等处理方法。
Pressents a method for the data acquisition of cervical cancer cell image, the smooth, boundary enhancement, segmentation and edge track of original image.
但由于目前在MAP算法中普遍采用的是平滑型图像先验模型，导致重构出来的图像边界不明锐，一些细节不清晰。
However, due to the use of smooth prior image model in MAP, the reconstructed edges and some image details are blurred.
色块密集、颜色闪耀且边界清晰，平滑。
Patches are a dense, brilliant color with sharply defined, smooth edges.
实验结果显示，该算法执行速度快，用户交互量少，且分割得到的牙齿边界线平滑，较好地满足口腔正畸的临床要求。
The experiment indicates that our algorithm runs fast and needs little interactive operation, while the border of the segmented tooth is smooth and meets the clinical requirement of orthodontics.
该算法充分考虑自然图像边缘缓慢变化的特点，在图像边缘平滑的假设下，采用边界程度信息来抑制锯齿现象。
Under the smooth contours assumption, the method considered the smoothly varying characteristics of nature image contours, and utilized the information of edge degree to suppress contour jaggies.
该算法充分考虑自然图像边缘缓慢变化的特点，在图像边缘平滑的假设下，采用边界程度信息来抑制锯齿现象。
Under the smooth contours assumption, the method considered the smoothly varying characteristics of nature image contours, and utilized the information of edge degree to suppress contour jaggies.
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