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| 1 | 2D IMAGE BASED SIEVING FOR PARTICLE AGGREGATE GRADATION显示文摘Acquiring the size gradation for particle aggregates is a common practice in the granule related industry,and mechanical sieving or screening has been the normal method. Among many drawbacks of this conventional means,the major ones are time-consuming,labor-intensive,and being unable to provide real-time feedback for process control. In this letter,an optical sieving approach is introduced. The two-dimensional images are used to develop methods for inferring particle volume and sieving behavior for gradation purposes. And a combination of deterministic and probabilistic methods is described to predict the sieving behaviors of the particles and to construct the gradation curves for the aggregate sample. Comparison of the optical sieving with standard mechanical sieving shows good correlation. | Chen Ken John Zaniewski Zhao Pan Yang Ren'er | 2008 | Journal of Electronics(China)2008，25，2： | 5 |
| 2 | HESSIAN MATRIX BASED SADDLE POINT DETECTION FOR GRANULES SEGMENTATION IN 2D IMAGE显示文摘Segmenting the touching objects in an image has been remaining as a hot subject due to the problematic complexities, and a vast number of algorithms designed to tackle this issue have come into being since a decade ago. In this paper, a new granule segmentation algorithm is developed using saddle point as the cutting point. The image is binarized and then sequentially eroded to form a gray-scale topographic counterpart, followed by using Hessian matrix computation to search for the saddle point. The segmentation is performed by cutting through the saddle point and along the maximal gradient path on the topographic surface. The results of the algorithm test on the given real images indicate certain superiorities in both the segmenting robustness and execution time to the referenced methods. | Chen Ken Wang Yicong Yang Rener | 2008 | Journal of Electronics(China)2008，25，6： | 4 |
| 3 | 基于任意形状颗粒集合二值图像的体积估算模型显示文摘基于任意形状颗粒集合的二值图像,提出了估计其体积(或质量)的方法.首先利用发光背景台面获取的颗粒灰度图像变换为相应的二值图像,得到颗粒的边界轮廓.然后再基于其边界信息,定义与颗粒形状特征相关的描述量,并将其无量纲化.将由此定义的无量纲参变量作为回归变量建立一个多元线性回归(multiple linear regression)模型用以估计颗粒集合的扁平度,进而估算颗粒体积.回归变量的系数由随机采样的501个样本颗粒(尺寸范围为4.75~25 mm)用误差最小平方和求得.将模型应用于由具有相似统计分布特征的其他颗粒集合,并将得到的体积估计值与其体积真实值相比较,实验结果显示模型的相对误差在±2%以内. | 陈恳 赵攀 汪一聪 | 2007 | 宁波大学学报(理工版)2007，20，2： | 2 |
| 4 | 基于鞍点搜索的粘连对象图像分割方法显示文摘针对图像中不规则形状物体接触的分割问题,提出一种采用Hessian矩阵来判断分割点(即鞍点)进行粘连对象分割的方法。根据对图像进行腐蚀操作得到的三维地貌图,结合鞍点的数学特性,运用Hessian矩阵的特征值对鞍点进行搜索定位,沿经过鞍点的最大梯度路径分割粘连对象。与目前已有的几种分割算法相比,该方法具有算法简捷、分割效果好以及易于实现的特点。 | 汪一聪 陈恳 | 2009 | 计算机工程2009，35，10： | 1 |
| 5 | 基于数学规划条件的粘连颗粒图像鞍点搜寻显示文摘鞍点在图像粘连对象分割的过程中起着非常关键的作用,目前已有若干以分割为目的的鞍点搜索算法,但在其简捷性、鲁棒性等方面仍有改善的余地。提出一种基于数学规划条件的颗粒图像鞍点搜寻新方法。该方法首先根据颗粒图像3维地貌化后得到的像素空间分布信息,利用数学规划原理提出颗粒图像的鞍点规划条件,然后根据其条件进行鞍点检测。将提出的算法应用在真实粘连颗粒图像上,实验结果表明,该算法具有较高的准判率,为颗粒图像的分割以及相关后续处理奠定了理论分析基础。 | 汪一聪 陈恳 赵攀 | 2010 | 中国图象图形学报2010，15，3： | 0 |
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