Title :
Vegetable seedling sorting based on mean-shift
Author :
Liao, Yi-Chun ; Chuang, Yung-Cheng
Author_Institution :
Dept. of Comput. Sci. & Inf. Eng., China Univ. of Technol., Hsinchu, Taiwan
Abstract :
The seedling sorting is to filter the vegetable seedlings and keep the suitable seedlings, eliminate redundant seedlings. This paper implements a seedling sorting algorithm and utilizes the automation of the seedling sorting. By mean-shift and searching function, the seedlings are detected and located. Our method improved slightly the image processing technology to increase productivity and promote agricultural automation.
Keywords :
agricultural engineering; agricultural products; image processing; sorting; agricultural automation; image processing; mean shift function; searching function; vegetable seedling sorting; Automation; Face recognition; Image processing; Information analysis; Layout; Productivity; Shape; Sorting; Space technology; Vegetation mapping; Mean shift; Seedling sorting; agricultural automation;
Conference_Titel :
Pervasive Computing (JCPC), 2009 Joint Conferences on
Conference_Location :
Tamsui, Taipei
Print_ISBN :
978-1-4244-5227-9
Electronic_ISBN :
978-1-4244-5228-6
DOI :
10.1109/JCPC.2009.5420192
