采用模糊形态学的大田害虫图像分割  

Pest Image Segmentation in Field with Fuzzy Morphology

作　　者：陈婷婷[1] 

机构地区：[1]西南大学计算机与信息科学学院,重庆400715

出　　处：《内蒙古农业科技》2007年第6期45-47,共3页Inner Mongolia Agricultural Science and Technology

摘　　要：介绍了基于机器视觉的大田害虫智能检测系统。文章通过对获取的大田害虫原始图像采用模糊形态学进行分割,将害虫从背景中分割出来,以提取出的周长、不变矩等特征,运用神经网络分类器对常见的9类害虫进行分类。试验验证了该系统的可行性,表明该方法分割速度快,容错性好,能够正确分割有噪声的大田害虫图像。The intelligence etection system for agriculture field pests based on machine vision was introduced.In the paper FMM was used to improve the images of agriculture field pests sample,the pests image can be separated from the background by using the FMM method.The characters of a pest,such as perimeter,invariant quadrature,and so on,were taken as its characteristics to identify nine types of pests by using a classifier based on BP NN.The experiment shows that the system is practical and feasible,and can rache a high clssification rate and a reasonable time.

关 键 词：大田害虫 模糊形态学 神经网络 图像分割 

分 类 号：TP39[自动化与计算机技术—计算机应用技术]