基于Matlab的无花果成熟度识别技术

Maturity Recognition Technology of Figs Based on Matlab

利用Matlab和图像处理技术对无花果果实进行处理识别,该系统可以快速、高效地辨别出七八分熟以上的无花果果实,进而提高了无花果自动化识别水平,同时为无花果采摘机器人的研究做了准备;无花果目前已知有八百个品种,绝大部分都是常绿品种,但目前市场上常见的大约在十种以内;并以布兰瑞克、金早、金傲芬、紫蕾、波姬红、绿早、青皮几种中国最受欢迎的无花果品种为对象,通过Matlab软件研究了判别无花果成熟度的算法,分别依据果实裂口和颜色变化进行判别;综合两种算法对果实成熟度进行判断,正确率达到89.5%。

Using Matlab and image processing technology to process and identify the fig fruits,the system can quickly and efficiently identify fig and fruit ripening,which improves the automatic recognition level of figs,and prepares the fig picking robot.Fig is currently known to have 800 varieties,most of them are evergreen varieties,but currently on the market about 10 kinds of common.In this study,Bran Rick,Jin Zao,Jin Ao-fen,Zi Lei,Boji Hong,Lu Zao,and Qing Pei were selected as the most popular fig varieties in China.The algorithm for judging fig ripeness was studied using Matlab software.Fruit nicks and color changes were identified.Two kinds of algorithms were used to judge the maturity of fruits,and the correct rate reached 89.5%.