Weber I, Albrecht R
Max-Planck-Institut für Biochemie, Martinsried, Germany.
Comput Methods Programs Biomed. 1997 Jun;53(2):113-8. doi: 10.1016/s0169-2607(97)01810-5.
Image processing algorithms for automatic extraction of cell body contours and cell-substratum contacts from video images, which were obtained by bright-field microscopy and reflection interference contrast microscopy, respectively, are described. Double-view imaging, which combines these two optical techniques, is used to investigate the relationship between cell-to-substratum adhesion and cell shape changes during locomotion of the amoeboid cells of Dictyostelium discoideum. Contact areas of cells are extracted from reflection interference contrast images via a routine which performs binarisation on the basis of threshold estimation, as it is calculated by a histogram minimum method. Boundaries of cells are extracted from bright-field images by utilising and algorithm that includes background subtraction and binarisation based on texture discrimination by means of a rank operator.
本文描述了用于从视频图像中自动提取细胞体轮廓和细胞与基质接触的图像处理算法,这些视频图像分别通过明场显微镜和反射干涉对比显微镜获得。结合这两种光学技术的双视图成像用于研究盘基网柄菌变形虫细胞运动过程中细胞与基质粘附和细胞形状变化之间的关系。细胞的接触区域通过基于阈值估计进行二值化的程序从反射干涉对比图像中提取,该阈值由直方图最小值法计算得出。细胞边界通过一种算法从明场图像中提取,该算法包括背景减法和基于秩算子纹理判别进行的二值化。