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黄瓜彩色图像分割
引用本文:乔宝民,张煜东,韦耿,王水花,吴乐南.黄瓜彩色图像分割[J].电脑与信息技术,2009,17(6):32-34.
作者姓名:乔宝民  张煜东  韦耿  王水花  吴乐南
作者单位:东南大学信息科学与工程学院,江苏,南京,210096
基金项目:东南大学优秀博士学位论文基金,河海大学青年科技基金 
摘    要:提出一种基于彩色阈值变换的黄瓜果实识别算法:利用黄瓜果实与周围梗叶在R和G颜色分量深度上存在一定的差异,先通过R、G阈值变换将彩色图像二值化,然后进行腐蚀和膨胀操作消除背景中的枝叶,最后根据圆形度提取黄瓜。实验结果显示,该算法能够有效地将黄瓜从背景中提取出来。

关 键 词:彩色阈值变换  黄瓜  圆形度  特征提取

Segmentation of Cucumber Color Images
QIAO Bao-min,ZHANG Yu-dong,WEI Geng,WANG Shui-hua,WU Le-nan.Segmentation of Cucumber Color Images[J].Computer and Information Technology,2009,17(6):32-34.
Authors:QIAO Bao-min  ZHANG Yu-dong  WEI Geng  WANG Shui-hua  WU Le-nan
Affiliation:QIAO Bao-min,ZHANG Yu-dong,WEI Geng,WANG Shui- hua,WU Le-nan (School of Information Science & Engineering,Southeast University,Nanjing 210096,China)
Abstract:A method for cucumber segmentation of color images was discussed. As there exist differences in the color-depth of R and G between cucumbers and leaves, a novel process was proposed as follows-Firstly, color images were transformed into binary images where white pixels denote for cucumbers and black ones for the background; secondly, noises were eliminated via the operations of corrosion and expansion; finally, cucumbers were extracted according to the circular degree. The experiment results show that this algorithm is capable of extracting cucumbers from the background effectively.
Keywords:color threshold transform  cucumber  circular degree  feature extraction  
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