文档介绍：2012届毕业生
毕业论文
题目: 不同含水率大豆重量自动测定技术研究
院系名称粮油食品学院专业班级: 食工F0801
学生姓名: 学号: 200848060114
指导教师: 教师职称: 讲师
摘要
本课题主要是研究大豆在不同含水率下重量自动测定技术。大豆含水率不同,其在扫描议上扫描的图像也不相同。利用matlab图像处理软件对大豆籽粒图像进行真彩图像转换、图像灰度化、中值滤波处理、图像二值化得到其二值图像,再计算大豆籽粒图像像素。研究大豆籽粒图像像素、重量与含水率之间的内在关系。实验研究结果为(1)相同干重不同含水率大豆样品重量与像素呈线性变化,即像素随重量的增加而增加,其线性关系式为:y = 80647x – 58927(R² = );(2)相同含水率不同重量大豆样品重量与像素呈线性变化,即像素随重量的增加而增加,%时,重量与像素线性关系为:y = 46650x + 43972(R² = );%时,重量与像素线性关系为:y = 62422x + 5987(R² = );%时,重量与像素线性关系为:y = 62648x + 46858(R² = )。实验研究结果表明,在不同含水率下,能够实现大豆重量的自动测定。
关键词: 图像处理含水率重量
Title The weight of different moisture content of soybean automatic determination of technical research
Abstract
The main task is to study of soybean at different moisture content weight automatic measuring moisture content of soybean in different, scanning the scanning image is not the MATLAB image processing software on soybean seed image color image conversion, image, median filtering, the value of the two images to get the binary images, and then calculate the soybean grain image of soybean grain image pixel, weight and water content of the intrinsic relationship experimental results for (1) the same dry weight of different water content in soybean sample weight and the pixel linear change, namely pixel with the weight increased, the linear relation formula was: y = 80647x - 58927 (R ² = ); (2) the same moisture content of different weight soybean sample weight and pixel linear change, namely the pixel with the weight increase, namely in the samples' moisture content is %, weight and pixel linear relation is: y = 46650x + 43972 (R ² = ); sample moisture content is %, weight and pixel linear relation is: y = 62422x + 5987 (R ² = ) sample; moisture content is %, the weight and the linear pixel as: y = 62648x + 46858 (R ² = ).The experimental results show that, at different moisture con