山核桃图像头尾检测方法  

Image inspection for head and tail of Carya cathayensis

作　　者：张塔烺 应宏微[1] 邱雪娜[1] 徐迪凯 戴志阔 

机构地区：[1]宁波工程学院电信学院,315211

出　　处：《福建农业科技》2017年第7期36-39,共4页Fujian Agricultural Science and Technology

基　　金：浙江省宁波市自然科学基金(2013A610113);国家级大学生创新创业训练计划(201511058001)

摘　　要：为了将山核桃击压姿态调整至最佳,以提高手剥山核桃的碎壳品质,提出了一种基于机器视觉与山核桃图像特征的山核桃头尾检测方法。运用数学形态学等方法,提取山核桃图像的外轮廓、纹理、大小等特征,结合山核桃的几何尺寸与纹理分布建立数学模型,进行山核桃头尾位置的检测,从而得到姿态调整的角度,为后期自动化击压加工山核桃提供了便利。A detection way for head and tail of Carya cathayensis based on the machine vision and image characteristics were proposed in order to adjust the best position for crumbling and improve the shell crumbling quality of Carya cathayensis during artificial processing.On the basis of mathematical morphology,the characteristics of Carya cathayensis,such as shape,texture,size,were established firstly,and a mathematics model was built according to the size and texture of Carya cathayensis;then the head and tail of Carya cathayensis were detected,and the suitable position for shell crumbling was determined to provide reference for the automatic shell remove of Carya cathayensis in future.

关 键 词：山核桃 机器视觉 图像处理 

分 类 号：S664.1[农业科学—果树学]