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排种图像的小波变换及其评价
引用本文:薛忠,王玉顺.排种图像的小波变换及其评价[J].山西农业大学学报(自然科学版),2006,26(4):399-401.
作者姓名:薛忠  王玉顺
作者单位:山西农业大学,工程技术学院,山西,太谷,030801
基金项目:山西省科技攻关项目(041085)
摘    要:图像变换是从排种图像中精确提取种子对象的一项关键措施,由于线性变换、中值滤波尚不能达到理想要求,故尝试应用二雏小波对排种图像进行小波变换,并依据种子对象的提取效果对其进行了评价。研究结果表明,小波变换对排种图像处理而言是一种优良变换算法,种子对象提取的匹配系数均大于0.85,最高达0.935 7,优于线性变换算法的0.6709。

关 键 词:排种图像  小波变换  图像处理
文章编号:1671-8151(2006)04-0399-03
收稿时间:2006-09-04
修稿时间:2006-10-16

Research on Seeding Image Processing Based on Wavelet Transform
XUE Zhong,WANG Yu-shun.Research on Seeding Image Processing Based on Wavelet Transform[J].Journal of Shanxi Agricultural University,2006,26(4):399-401.
Authors:XUE Zhong  WANG Yu-shun
Institution:College of Engineering and Technology, Shanxi Agricultural University, Taigu Shanxi 030801, China
Abstract:Image transform is a pivotal method at drawing-out the object of seeds from the seeding images accurately.2-D wavelets are attempted to be used in processing images in that the traditional algorithms can not get satisfactory results.This method is evaluated by the results of seed object processing,and proved to be a fine transformation algorithm for treating the seeding images.Matching coefficients of wavelets transform in taking out seed object are all greater than 0.85.The maxi- mum is 0.935 7,which is greater than a 0.670 9 obtained from linear transformation algorithm.
Keywords:Seeding Image  Wavelet Transform  Image processing
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