Identification process of corn and barley kernels damages using neural image analysis

摘要：

The subject of the study was to develop a neural model for the identification of mechanical damage in grain caryopses based on digital photographs. The authors has selected a set of universal features that distinguish between damaged and healthy caryopses. The study has produced an artificial neural network of a multilayer perceptron type whose identification capacity approximates that of a human.

关键词： neural image analysis artificial neural networks image recognition

作者: Nowakowski K Boniecki P Tomczak R.J Raba B

作者单位: Poznan University of Life Sciences, Department of Agricultural Engineering, POLAND

会议类型: 国际会议

会议名称: Third International Conference on Digital Image Processing(ICDIP 2011)(第三届数字图像处理国际会议)

会议地点: 成都

会议语种:英文

页码: 59-63

在线出版日期: 2011-04-15（万方平台首次上网日期，不代表论文的发表时间）