摘要： 医学领域中的红细胞图像要求检测出细胞面积、圆度及个数等特征。针对该检测需求，提出一种基于改进Canny算子的图像边缘检测算法，采用迭代算法计算最佳高低双阈值，以数学形态法细化检测出的图像。实验结果表明，该算法可减少干扰边缘和噪声的影响，能突显医学细胞图像的检测特征。

关键词: 边缘检测, 红细胞图像, Canny算子, 迭代算法, 数学形态法

Abstract: Referring to the image which is in the medical field, and similar to the medical image as red blood cells needs to detect cell size, roundness, and number of other features detection requirements, this paper proposes an image edge detection algorithm based on improved Canny operator. It calculates the optimal high and low dual-threshold through iteration arithmetic, and uses mathematical morphology to detect image thinning. Experimental results prove that this algorithm can effectively reduce interference and noise edge, and make more prominent detection characteristics of medical cell image.

Key words: edge detection, red blood cells image, Canny operator, iterative algorithm, mathematical morphological method

中图分类号: 

• TP391