The Application of Stationary Wavelet Transform in Crop Image Segmentation

摘要：

According to the color and texture characters of the crop image, a method based on discrete stationary wavelet transform is presented to extract the crop image texture. Through two steps two dimension stationary wavelet transform, the crop image is decomposed into seven sub-images. From each decomposed wavelet field, the texture eigenvector can be extracted and combined with color character vector to form the image eigenvectors. By applying the fuzzy C-meaning cluster method, the image is segmented. The results show that the method can extract the crop image from the image with complex background.

关键词： - Stationary wavelet Texture image segmentation . Fuzzy cluster

作者: Cai Zhenjiang Hu Yihua Sun Yumei

作者单位: School of Mechanical and Electrical Engineering, Hebei Agricultural University, Baoding 071001, Chin Hebei soft wear institute, Baoding 071000, China

会议类型: 国际会议

会议名称: 第七届国际测试技术研讨会

会议地点: 北京

会议语种:英文

在线出版日期: 2007-08-05（万方平台首次上网日期，不代表论文的发表时间）