Discrimination method of crystal precipitation based on improved connected domain algorithm

Konferenz: ICETIS 2022 - 7th International Conference on Electronic Technology and Information Science
21.01.2022 - 23.01.2022 in Harbin, China

Tagungsband: ICETIS 2022

Seiten: 7Sprache: EnglischTyp: PDF

Autoren:
Xu, Zhengguang; Zhu, Xu; Ye, Yang (Department of Control Science and Engineering, Beijing University of Science and Technology, Bei Jing, China)

Inhalt:
It is difficult to distinguish whether there are precipitated crystals in the evaporating dish in the evaporation crystallization chemistry experiment of middle school via video. Firstly, this paper uses CLAHE algorithm to enhance the gray image of the original image. On this basis, an improved connected domain algorithm is proposed to enhance the roughness of crystal particle size, combined with the texture measurement algorithm of gray level co-occurrence matrix, a crystal precipitation discrimination algorithm based on connected domain roughness enhancement is proposed. The algorithm is tested on the real-time experimental video of middle school students, and the results have a high recognition rate, which verifies the effectiveness of the algorithm.