| 基于形态学分水岭的垩白米粒检测方法 |
| |
| 引用本文： | 房国志. 基于形态学分水岭的垩白米粒检测方法[J]. 光电子．激光, 2010, 0(4): 569-571 |
| |
| 作者姓名： | 房国志 |
| |
| 作者单位： | 哈尔滨理工大学测控技术与通信工程学院;佳木斯大学信息电子技术学院; |
| |
| 摘 要： | 提出了一种基于形态学分水岭的垩白米粒检测方法。充分利用单个垩白米粒图像区域中垩白部分白色不透明这一物理特征,将单个垩白米粒图像区域分成3个标记区域,通过形态学分水岭方法分割垩白米粒图像,提取区域间的单像素边缘将垩白区域提取出来。为了提高边缘检测的准确性,使用sobel算子去噪。由于使用标记控制分割,从而使区域极小值修正具有自适应性和准确性特点。试验结果表明:该方法对垩白米粒的检测精度为96.4%,而且识别效果好于基于分形维数的检测算法。
|
| 关 键 词： | 形态学分水岭 垩白米检测 图像处理 |
Detection of chalky rice based on morphology and watershed algorithm |
| |
| FANG Guo-zhi. Detection of chalky rice based on morphology and watershed algorithm[J]. Journal of Optoelectronics·laser, 2010, 0(4): 569-571 |
| |
| Authors: | FANG Guo-zhi |
| |
| Affiliation: | FANG Guo-zhi1,XU Jian-dong1,2,WANG Quan2,SUN Ying-chun1,JIANG Ye2(1.School of Measure-control Technology & Communication Engineering,Harbin University of Science , Technology,Harbin 150040,China,2.Institute of Information , Electronic Technology,Jiamusi University,Jiamusi 154007,China) |
| |
| Abstract: | A detection method of chalky rice based on morphology and watershed algorithm is proposed,which can detect various chalky rice kernels only by edge extraction.The chalky kernels is classified into three regions as normal(or white) region and chalky(or chalky white) and background(or black) region according to their aspect color features.Because the method of morphology and watershed can exactly extract the edge of the different regions by using the sobel algorithm,the extraction of the chalky region of chal... |
| |
| Keywords: | morphological watershed chalky rice detection image processing |
| 本文献已被 CNKI 等数据库收录！ |
| 点击此处可从《光电子．激光》浏览原始摘要信息 |
|
点击此处可从《光电子．激光》下载全文 |
|
