基于双参数阈值的蚕茧分割及双宫茧识别研究  

Research on cocoon segmentation and double cocoon recognition based on two-parameter thresholds

作　　者：蒋昭琼 应婧[1,2] 王春霞 宋乐见 何清燕 郭鹏 吝祥根[1] 邓立黎[1] JIANG Zhaoqiong;YING Jing;WANG Chunxia;SONG Lejian;HE Qingyan;GUO Peng;LIN Xianggen;DENG Lili(Sichuan Research&Design Institute of Agricultural Machinery,Chengdu 610066,China;Key Laboratory of Agricultural EquipmentTechnology for Hilly and Mountainous Areas,Ministry of Agriculture and Rural Affairs,Chengdu 610066,China)

机构地区：[1]四川省农业机械研究设计院,成都610066 [2]农业农村部丘陵山地农业装备技术重点实验室,成都610066

出　　处：《丝绸》2023年第4期18-25,共8页Journal of Silk

基　　金：四川省省级科研院所基本科研业务费项目(2021JBKY0014-05);四川省蚕桑创新团队项目(SCCXTD-2022-17)。

摘　　要：针对粘连蚕茧难以准确分割、现有双宫茧识别方法局限性等问题,本文提出了基于双参数阈值的蚕茧分割计数、蚕茧形状复原及双宫茧识别的串联算法。首先,应用可变分割阈值结合形态学运算的方法对图像进行分割计数,再遍历完成分割的每个蚕茧的像素点,应用基于边缘检测与椭圆拟合的蚕茧形状复原方法拟合蚕茧形状,然后计算蚕茧长短轴比值和面积参数,采用双参数多级阈值对双宫茧进行检测。实验结果显示,图像分割计数准确度为100%,双宫茧全部检出,双宫茧与单宫蚕茧分类准确率为98.6%。该方法检出了面积阈值法易漏检的小双宫茧,也较准确地识别出与长短轴比值阈值接近的蚕茧类型。The quality of cocoons directly affects the quality of raw silk.Before reeling,the cocoons should be sorted to remove the inferior cocoons that cannot be used for reeling.The double cocoon is the best raw material for making silk quilts.Therefore,it should be separated from other types of inferior cocoons and classified separately in the process of selecting cocoons.The traditional cocoon sorting basically relies on manpower,which involves high labor intensity,low efficiency of cocoon selection and high missing rate,and the accuracy of cocoon selection is easily affected by subjective factors such as the technical level and mental state of cocoon selection personnel.With the rapid development of artificial intelligence,machine vision technology is widely used to replace human eyes for detection and recognition.At present,in machine vision technology,the recognition of double cocoons mainly includes area threshold method and the threshold method of the ratio of long to short axis of ellipse.The disadvantage of the area threshold method is that small double cocoons cannot be detected.The threshold method of the ratio of long to short axis of ellipse is not applicable to the double cocoon of the head-to-tail type and relies too much on the accurate fitting of the cocoon shape.However,due to the slight irregularity of the cocoon shape,the attachment silk and the adhesion between the cocoons,the ellipse fitting is different from the actual shape,which may result in people’s misjudging the cocoon type near the threshold.Therefore,there are some limitations in the identification of double cocoons by only depending on the area threshold or the threshold of the ratio of long to short axis of the fitted ellipse.Due to the dense distribution of cocoons in the cocoon image and the interference of attached silk,the gray scale of adjacent cocoons is similar,so it is difficult to conduct segmentation completely by traditional image segmentation methods.Therefore,the segmentation and counting problem of target cocoons should b

关 键 词：图像分割 双宫茧 计数 分类 算法 阈值 

分 类 号：TS143.215[轻工技术与工程—纺织材料与纺织品设计]