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基于条纹投影的苹果果梗/花萼识别方法
引用本文:蔡家旭,王飞,奚冬冬,刘路,王玉伟. 基于条纹投影的苹果果梗/花萼识别方法[J]. 浙江农业学报, 2021, 33(8): 1497-1504. DOI: 10.3969/j.issn.1004-1524.2021.08.17
作者姓名:蔡家旭  王飞  奚冬冬  刘路  王玉伟
作者单位:1.安徽农业大学 工学院,安徽 合肥 2300362.安徽省智能农机装备工程实验室,安徽 合肥 230036
基金项目:国家自然科学基金(51905005);安徽省自然科学基金(2008085QF318);安徽农业大学研究生创新基金(2021yjs-47)
摘    要:为避免苹果果梗/花萼区域对表面缺陷检测造成干扰,提出一种苹果果梗/花萼识别方法.首先,利用相移条纹投影技术,通过数学变换思想模拟多角度下参考平面的偏转相位,将苹果的绝对相位减去参考平面的偏转相位,获得多角度下苹果的相位高度图;然后,根据果梗/花萼区域的凹形特征,利用灰度形态学算法对相位高度图进行填充,获得相位填充图;最...

关 键 词:条纹投影  苹果  相位  形态学
收稿时间:2021-02-24

Apple stem/calyx recognition based on fringe projection
CAI Jiaxu,WANG Fei,XI Dongdong,LIU Lu,WANG Yuwei. Apple stem/calyx recognition based on fringe projection[J]. Acta Agriculturae Zhejiangensis, 2021, 33(8): 1497-1504. DOI: 10.3969/j.issn.1004-1524.2021.08.17
Authors:CAI Jiaxu  WANG Fei  XI Dongdong  LIU Lu  WANG Yuwei
Affiliation:1. School of Engineering, Anhui Agricultural University, Hefei 230036, China
2. Anhui Province Engineering Laboratory of Intelligent Agricultural Machinery and Equipment, Hefei 230036, China
Abstract:To avoid the interference of apple stem/calyx area on its surface defect detection, an apple stem/calyx recognition method is proposed in the present assay. Firstly, by taking use of phase-shifting fringe projection technology, the deflection phases of the reference plane under multiple angles are simulated with mathematical transformation. Secondly, the phase-height images under multiple angles are obtained by subtracting the deflection phases from the absolute phase of the apple. Based on the concavity characteristic of the stem/calyx, the phase-height images are filled with morphological grayscale algorithm to obtain the phase filled images. Finally, the phase difference images are computed by subtracting the phase-height images from the phase filled images, then the stem/calyx area can be accurately located through threshold segmentation. The experimental results demonstrate that the proposed method can effectively recognize the stem/calyx area of apple at different positions, and has good robustness and applicability with the recognition accuracy of 97.33%.
Keywords:fringe projection  apple  phase  morphology  
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