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基于小波分析的玉米籽粒图像正形研究
引用本文:权龙哲,马小愚.基于小波分析的玉米籽粒图像正形研究[J].农机化研究,2006(2):154-156.
作者姓名:权龙哲  马小愚
作者单位:东北农业大学,工程学院,哈尔滨,150030
摘    要:近年来,通过对玉米籽粒的尺寸、外形、色泽等方面的研究,已获得了一些必要的单籽粒的视觉信息。但是,对于粮食作物而言,只有实现了作物籽粒的大规模、快速识别,才有可能在实际生产中得到广泛应用。为此,采用图像标记法,对含有众多的、散放的玉米籽粒图像进行处理,对标记图像中的像素进行逻辑判断,采用多尺度小波分析算法,实现籽粒分割、定位及正形。

关 键 词:计算机应用  计算机视觉  小波分析  玉米籽粒  识别  正形
文章编号:1003-188X(2006)02-0154-03
收稿时间:2005-03-01
修稿时间:2005年3月1日

Adjusting the Shape of Corn Kernels Based on Wavelet Analysis
QUAN Long-zhe,MA Xiao-yu.Adjusting the Shape of Corn Kernels Based on Wavelet Analysis[J].Journal of Agricultural Mechanization Research,2006(2):154-156.
Authors:QUAN Long-zhe  MA Xiao-yu
Institution:Engineering College, Northeast Agricultural University, Harbin 150030,China
Abstract:The visual information has been acquired by mean of researching some characteristics of single corn kernel, such as its size, shape, color and luster. But for the grain crops, only when distinguishing kernels on a large scale is realized can it be extensively applied in the actual production. Every corn kernel image is marked to distinguish every one from others, and the position of every coin kernel is made certain in the image based on logical judge, then the direction of every corn kernel is adjusted based on wavelet analysis.
Keywords:computer application  computer vision  wavelet analysis  corn kernels  distinguishable methods  adjustment
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