魏春阳,张云鹤,宋瑜冰,李锋,薛超群,蔡宪杰.基于颜色分形的不同产地烟叶聚类分析[J].农业机械学报,2010,41(8):178-183.
.Analysis of Tobacco Leaves from Different Areas Based on Fractal Color[J].Transactions of the Chinese Society for Agricultural Machinery,2010,41(8):178-183.
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基于颜色分形的不同产地烟叶聚类分析   [下载全文]
Analysis of Tobacco Leaves from Different Areas Based on Fractal Color   [Download Pdf][in English]
  
DOI:10.3969/j.issn.1000-1298.[year].[issue].[sequence]
中文关键词:  烟叶  系统聚类分析  颜色  分形  计盒维数
基金项目:
魏春阳  张云鹤  宋瑜冰  李锋  薛超群  蔡宪杰
中国烟草总公司
中文摘要:对较高精度的烟叶数字图像进行背景去除和分割预处理,计算烟叶颜色各分量(红色、绿色、蓝色、亮度)的计盒维数,绘制各颜色分量的计盒维数变化曲线,进行烟叶颜色系统聚类分析。结果发现不同产地烟叶的颜色各分量计盒维数变化曲线存在较明显差异;采用颜色分形维数作为聚类参数得到了最好的分类结果。这表明颜色分形维数可以作为按颜色分类的特征指标,能更准确地描述图像颜色的分形分布特征。
Key Words:
Abstract:High definition digital images of tobacco leaves were obtained, which were made on removing the background and segmentation processing. All the components of tobacco leaf color, such as red, green, blue and luminance, were calculated, as new indexes quantitatively described the color distribution state of tobacco leaf surface. The box-counting dimension variation curve of every color component was plotted. A hierarchical cluster analysis was performed on tobacco leaf color with fractal dimension as parameter. The results showed that there was obvious difference in the box-counting dimension variation curve of every color component of tobacco leaves from different growing areas. Cluster analysis with fractal dimension as parameter was very well consistent with tobacco grade experts. These results indicated color fractal dimension, as characteristic index of color classification, could more accurately describe the fractal distributed features of image color.

Transactions of the Chinese Society for Agriculture Machinery (CSAM), in charged of China Association for Science and Technology (CAST), sponsored by CSAM and Chinese Academy of Agricultural Mechanization Science(CAAMS), started publication in 1957. It is the earliest interdisciplinary journal in Chinese which combines agricultural and engineering. It always closely grasps the development direction of agriculture engineering disciplines and the published papers represent the highest academic level of agriculture engineering in China. Currently, nearly 8,000 papers have been already published. There are around 3,000 papers contributed to the journal each year, but only around 600 of them will be accepted. Transactions of CSAM focuses on a wide range of agricultural machinery, irrigation, electronics, robotics, agro-products engineering, biological energy, agricultural structures and environment and more. Subjects in Transactions of the CSAM have been embodied by many internationally well-known index systems, such as: EI Compendex, CA, CSA, etc.

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