• 中国计算机学会会刊
  • 中国科技核心期刊
  • 中文核心期刊

J4 ›› 2012, Vol. 34 ›› Issue (11): 114-119.

• 论文 • Previous Articles     Next Articles

The Micro Image Threshold Segmentation and Automatic Classification of Leafy Herbal Medicine

ZHANG Cuiping1,YANG Shanchao2   

  1. (1.School of Management,Fujian University of Traditional Chinese Medicine,Fuzhou 350122;2.School of Mathematics and Computer Science,Fujian Normal University,Fuzhou 350108,China)
  • Received:2011-01-18 Revised:2011-04-17 Online:2012-11-25 Published:2012-11-25

Abstract:

According to the characteristics of the micro image of leafy herbal medicine, the paper proposes a threshold based segmentation method for the micro image of leafy herbal medicine, and measures the stomata index. The edge detection methods are used to elevate the threshold segmentation, and the morphology methods and region descriptor are employed to segment cells and count regions. Suppose that the objects in the image has normally distributed,we segment the stomata in the image where the cells have been removed. In this step the characteristic of the colorspace is used. The experiments show that the proposed threshold based segmentation method is effective for the Micro Image of Leafy Herbal Medicine.

Key words: micro image of leafy herbal medicine;edge detection;threshold;stomata index;segmentation