Editorial Note: This article is written with editorial review and topic relevance in mind.
通过对50 种观叶植物样本图像进行训练和识别, 与bp 神经网络和knn 识别方法进行比较,本文所采用的svm 分类器的识别率能够达到91 郾41% , 取得了较好的识别效果。
Pin On Kylin Kalani
by
Editorial Note: This article is written with editorial review and topic relevance in mind.
通过对50 种观叶植物样本图像进行训练和识别, 与bp 神经网络和knn 识别方法进行比较,本文所采用的svm 分类器的识别率能够达到91 郾41% , 取得了较好的识别效果。
Share it: