The Automatic Classification of the Agricultural Products Based on the Wavelet Texture Analysis
The paper puts forward a technology for the agricultural products automatic identification based on the wavelet texture analysis. The experiment chooses different levels of four apples, extracting their wavelet texture features and then classifying their features. The experiment shows that the technology has smaller computing complexity and higher stability for the product change whose products have the same kind but different classifications.
texture analysis automatic identification multi-scale wavelet
Yi-Rong Luo
Information Science and Technology College of Hunan Agricultural University Changsha, China, 410128
国际会议
哈尔滨
英文
2791-2794
2011-12-24(万方平台首次上网日期,不代表论文的发表时间)