基于python的中药颗粒表面缺陷检测算法设计

Design of surface defect detection algorithm for Chinese medicine granules based on Python

传统的中药都是通过熬制成为汤剂进行服用,虽然中药汤剂可以将中药效果更好地发挥出来,但是多数中药味苦涩口,难以服用,同时在携带等方面都存在较多弊端。因此,中药颗粒应运而生。颗粒状药品生产过程中,难以避免地存在表面污点、糖衣颜色不一、皱纹、边缘缺损、碎裂等各种不同的缺陷,中药颗粒的检测及质量控制就显得非常重要。本文建立基于python的中药颗粒表面缺陷检测算法,可用于颗粒状中药的批量快速缺陷检测,大大提高检测效率。

Traditional Chinese medicines are made by using medlar as a decoction.Although traditional Chinese medicine decoction can better exert the effect of traditional Chinese medicine,most traditional Chinese Medicines are bitter and difficult to take,and there are many disadvantages in carrying.Therefore,Chinese Medicine granules came into being.In the production process of granular drugs,various defects such as surface stains,different colors of sugar coatings,wrinkles,edge defects and chipping are inevitable.The detection and quality control of Traditional Chinese Medicine granules is very important.This paper establishes a python-based Chinese Medicine granules’surface defect detection algorithm,which can be used for batch rapid defect detection of Chinese Medicine granules,which greatly improves the detection efficiency.