首页> 外文会议>IFIP international conference on computer and computing technologies in agriculture >STUDYED ON THE EXTERNALDEFECTS SEGMENTATION BASED ON THE COLOR CHARACTER OF POTATOES
【24h】

STUDYED ON THE EXTERNALDEFECTS SEGMENTATION BASED ON THE COLOR CHARACTER OF POTATOES

机译:基于土豆颜色特征的外部缺陷分割研究

获取原文

摘要

Potato quality detection in China remains at the stage of dependent on human sense organ to identify and judge. According to the characteristics and requests of potatoes' detection, The original image was disposed fast and smoothly by the median filtering, and based on the threshold segmentation by setting up the values of B(blue), the background was effectively wiped off. By analyzing the circumscription of color characters between the normal and external defect potatoes, the external defect segmentation was realized. This way is simple and feasible.
机译:中国的土豆质量检测仍然是依赖人类感觉器官来识别和判断的阶段。根据土豆检测的特征和请求,原始图像通过中值滤波快速且平滑地设置,并且通过设置B(蓝色)的值来基于阈值分割,从而有效地擦除背景。通过分析正常和外部缺陷马铃薯之间的颜色特征的周边,实现了外部缺陷分割。这种方式简单可行。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号