摘要
图像分割是计算机视觉领域的关键技术之一,BP神经元网络被认为是好的学习分类方法之一。文中以6种植物图像为例,结合数字图像处理技术,采用BP神经元网络方法在植物图像颜色较复杂,且受周边环境影响较大的情况下,实现了植物图像与背景图像的分割。实验证明,与传统的分割方法比较,该方法是高效准确的。
Image segmentation is a key technique to computer vision, BP neural network is considered a good candidate. Six kinds of plants as the examples, combined with the technique of image processing, between leaf and background especially when the plant color is complex and the image is highly influenced by environment around by using BP ANN to realize the image segmentation form leaf and background. The results show that, SVM is high efficient and accurate compared to the traditional segmentation methods.
出处
《黑龙江八一农垦大学学报》
2009年第1期63-65,共3页
journal of heilongjiang bayi agricultural university