CAJ | 학술논문

为有效检测棉花中与棉纤维形态、色泽极其相似的异物,提出一种基于优化多光谱成像的异物检测新方法.在分析不同异物具有不同反射特性的基础上,在405～940 nm的波段范围内建立优化多光谱成像系统.通过实验确定了用于检测多种异物的最佳检测波长及最佳光照强度,在不同的光照条件下获取不同的光谱图像,然后采用小波变换图像融合算法获取完整的异物图像特征.实验结果表明,两种波长405 nm和850 nm构成的多光谱图像融合可检测多种棉花异物,异物检测结果与实际相符.此方法为解决棉花异物检测难题提供了一种新的途径.
위유효검측면화중여면섬유형태、색택겁기상사적이물,제출일충기우우화다광보성상적이물검측신방법.재분석불동이물구유불동반사특성적기출상,재405～940 nm적파단범위내건립우화다광보성상계통.통과실험학정료용우검측다충이물적최가검측파장급최가광조강도,재불동적광조조건하획취불동적광보도상,연후채용소파변환도상융합산법획취완정적이물도상특정.실험결과표명,량충파장405 nm화850 nm구성적다광보도상융합가검측다충면화이물,이물검측결과여실제상부.차방법위해결면화이물검측난제제공료일충신적도경.
For effectively detecting foreign materials having the same shape and color as the cotton, the method based on optimal multi-spectral imaging is proposed. The objective of this research is to develop an optimal multi-spectral imaging system (OMIS) for detecting foreign materials in the spectral region 405～940 nm. This method is based on the principle that different materials have different spectral reflectance characteristics. Through experiments, an optimal wavelength and light energy are determined for detecting each certain kind of foreign material. Then, multispectral images of foreign materials are captured with a CCD camera at different optimal wavelengths source of illumination. An image fusion algorithm based on wavelet analysis is created to acquire complete information on foreign materials. Imaging results show that the combination wavelengths of 405 nm and 850 nm are the most appropriate for detection of a wide range of foreign materials, which provide an effective method for the detection of these foreign materials in cotton.