鸡蛋品质检测系统的图像处理技术研究  

Study on Image Processiong Technology in Egg Quality Detection System

作　　者：王婧[1] 孟超英[1] 朱大洲[1] 籍保平[2] 

机构地区：[1]中国农业大学信息与电气工程学院,北京100083 [2]中国农业大学食品科学与营养工程学院,北京100083

出　　处：《食品科学》2008年第12期91-93,共3页Food Science

摘　　要：鸡蛋品质检测系统中的图像处理主要涉及图像平滑、边缘检测和图像分割三个方面。本研究采用矢量中值滤波的方法对鸡蛋的彩色图像进行平滑去噪,很好的保护了彩色图像色度信息。选用Prewitt算子检测图像边缘。经过反复试验,选取全局阈值进行图像分割,将目标鸡蛋图像从背景中分离出来。研究和实验结果表明,使用本实验的图像处理技术可以精确地提取鸡蛋品质检测的图像信息,为开发鸡蛋在线检测系统提供了技术基础。The image processing in egg quality detection system mainly involves image smoothing, edge detection and image segmentation. In the present study, the vector median filtering method was applied to smooth the image to protect the information of the color image. The prewitt edge operator was used to detect the image edge. After repeated experiment, a overall image segmentation threshold was selected to separate the target egg image from the background. Results showed that the image processing technology presented in this study can be used to accurately extract image information of egg.

关 键 词：鸡蛋 图像处理 矢量中值滤波 边缘检测 闽值分割 

分 类 号：TS201.21[轻工技术与工程—食品科学]