agglomerated grain造句

• In this paper , the contrast of original image is enhanced by nonlinear transformation based on the characteristics of grain image ; after comparing several methods of threshold segmentation and analyzing their performance and applicability on grain image , the adaptive threshold segmentation based on gradient image is presented ; the noise of binary image is reduced with morphological filter , the hollow in binary image is filled in and a recognition algorithm is designed to remove agglomerate particle ; on the basis of mathematical morphology two methods are adopted to segment agglomerate grains that are not agglomerated tightly ; the parameters of size and shape , perimeter , area , diameter , complexlity , longest feret diameter , shortest feret diameter etc , are extracted . this technique is applied in measurement of pearl powder ' s particle size
  本文根据粒度图像的特点，采用非线性对比度增强处理改善颗粒显微图像的对比度；对多种阈值分割方法进行比较，分析了它们的性能和用于粒度图像的适用性，在此基础上提出了一种基于梯度图像的动态阈值分割方法；对获取的颗粒二值图像进行形态滤波和空洞填充，设计了识别算法去除凝聚体；对重叠不太严重的粘结颗粒采用了两种基于数学形态学的分割算法；提取了周长、面积、粒径、复杂度、最长feret径、最短feret径等大小和形状特征参数，对珍珠粉等粉体粒度进行了测量。