郭文川,梁玮,宋怀波.基于邻差和的农产品X射线图像分割算法[J].农业机械学报,2012,43(11):214-219.
Guo Wenchuan,Liang Wei,Song Huaibo.Segmentation Method of Agricultural Products X-ray Image Based on Sum of Neighborhood Differences[J].Transactions of the Chinese Society for Agricultural Machinery,2012,43(11):214-219.
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基于邻差和的农产品X射线图像分割算法   [下载全文]
Segmentation Method of Agricultural Products X-ray Image Based on Sum of Neighborhood Differences   [Download Pdf][in English]
  
DOI:10.6041/j.issn.1000-1298.2012.11.040
中文关键词:  农产品检测  X射线  图像分割算法  领域差值和  直方图凹面
基金项目:国家自然科学基金资助项目(31171720、31000670);中央高校基本科研业务费专项资金资助项目(QN2009043);杨凌现代农业国际研究院科研培育项目
作者单位
郭文川 西北农林科技大学 
梁玮 西北农林科技大学 
宋怀波 西北农林科技大学 
中文摘要:针对图像阈值分割中二维灰度直方图和模态法的不足,提出了一种基于邻域差值之和与直方图凹面相结合的图像分割算法,并将此方法与二维直方图方法在板栗、苹果和猕猴桃的X射线图像分割中的效果进行了对比试验。试验结果表明,本方法的图像分割误差小于2.1%,最大分割误差仅是二维直方图简便算法分割误差的23.7%,能够更精确地提取果品的图像。
Guo Wenchuan  Liang Wei  Song Huaibo
Northwest A&F University;Northwest A&F University;Northwest A&F University
Key Words:Agricultural products detection  X-ray  Image segmentation method  Sum of neighborhood differences  Histogram concavity
Abstract:In order to overcome the limitation of image segmentation methods based on 2-D histogram and modality in threshold techniques, a method based on the combination of the histogram concavity and the sum of the neighborhood differences was proposed. In addition, the comparative experiment was done when the proposed method and 2-D histogram methods were applied in segmentation on X-ray images of chestnuts, apples and kiwifruits. The results showed that the image segmentation error of the proposed method was less than 2.1%, and its biggest segmentation error was only 23.7% of that of 2-D histogram method. The proposed method could get the fruits’images more precisely.

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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