透射图像颜色特征在烟叶识别中应用的探索

基金项目: 湖北省星火富民工程农村信息化促进专项“农村信息化体系建设与示范”资助

Color features of transmittance images applied in the classification of tobacco leaves

1.
College of Resources and Environment, Huazhong Agricultural University, Wuhan 430070, China
2.
Department of Communication, Laiyang Agricultural College, Qingdao 266109, China

摘要: 在理论推导的基础上，提出并应用烟叶反射和透射图像获取烟叶内在的质量信息，并在实际分级试验中验证透射图像颜色特征的有效性。研究发现，透射图像的三个颜色特征H、S、I和相对应的反射图像特征相关性小，可以有效补充反射图像不能反映烟叶内在质量的不足。利用7个烟叶正组各5片烟叶，采用费歇尔线性逐步判别法筛选，获得反射和透射图像的色调作为识别参数，建立判别模型。研究结果表明，采用透射图像作为反射图像的补充可以提高烟叶分组识别的准确率，具有应用前景。
- 透射图像 /
- 烟叶识别 /
- 计算机视觉
Abstract: A novel image analysis method was proposed in the tobacco leaf grading system based on transmittance theory. Both kinds of images were captured under reflected and transmitted light. The test showed that three pairs of color features from reflectance and transmittance image had very low correlations. Six color features were applied to develop recognition model by using Fisher's linear discrimination method. The result shows that the combination of both kinds of images obtained a higher classification rate than either single image type did. It is applicable to introduce transmittance image into the tobacco leaf grading system.
- transmittance image /
- classification of flue-cured tobacco leaves /
- computer vision