基于数学形态学的海洋浮游植物边缘检测研究

Research of Edge Detection for Marine Phytoplankton Based on Mathematical Morphology

传统的边缘检测算子由于受噪声影响比较大,无法检测海洋浮游植物细胞可靠的边缘位置,因此不适合应用于细胞形态分析.为此,针对海洋浮游植物细胞原始图像的特点,提出了一种迭代域值算法,数学形态学处理,类异或运算,单像素腐蚀相结合的边缘精确检测算法.通过Visual C++6.0试验结果证明,与传统的边缘检测算法相比较,本文的边缘检测算法不但抗噪声干扰能力强,而且检测精度高,边缘连续,清晰.

The traditional edge detection operators cannot detect the exact edge of marine phytoplankton cells because of the relatively large impact of noise, hence, it is not suitable for analyzing the shape of cells. This paper, based on the characteristics of the original images of marine phytoplankton, has proposed a new method which combines iterative a- rithmetic, mathematical morphology, similar XOR and Singal-pixel corrosion, and therefore, can detect the edge more accurately. The trial of Visual C ＋ ＋ 6. 0 has proved that the edge detection algorithm in this paper is not only strongly re- sistant to noise, but also highly precise, continuous, and clear, while compared with the traditional edge detection operators.