果实检验中灵武长枣成熟度图像分级仿真

摘要

It can solve the problem emerging during the fresh-keeping storage of fruit to make grading research on the fruit maturity degree.The ripening time of Lingwu long jujube fruit is different.Thus,it makes the fruit matu rity degree have many grades.However,traditional grading method makes the grading research directly after collecting preprocessing the fruit image.It is lack of level information of maturity degree required by the grading.Therefore,it leads to poor grading effect.This paper proposes a maturity grading method of Lingwu long jujube based on the compressed sensing.Firstly,the image sample of Lingwu long jujube is collected and the color feature is extracted.In the meantime,the maturity grade standard of Lingwu long jujube is given out.Then,the Lingwu long jujube image is preprocessed.Finally,the compressed sensing is used to complete the maturity grading research on the Lingwu long jujube fruit based on the compressed sensing theory.The simulation results show that the modified method has higher precision of maturity grading results and the needed time is shorter.%对果实成熟度进行分级研究,可解决果实保鲜贮藏中出现的问题.由于灵武长枣果实成熟时间不同,使得果实成熟度存在多个等级.传统的分级方法在通过对果实图像进行采集、预处理后直接进行分级研究,缺少分级所需的成熟度等级信息,导致分级效果差的问题.提出基于压缩感知的灵武长枣成熟度分级方法.在给出灵武长枣成熟度分级标准的同时,对灵武长枣图像样本进行采集,提取颜色特征,对灵武长枣图像进行预处理,在压缩感知理论基础上,利用压缩感知完成对灵武长枣果实成熟度分级研究.仿真结果表明,采用改进的方法进行灵武长枣成熟度分级研究时,成熟度分级结果准确度较高,所需时间较短,具有一定的优势.