基于遗传算法和支持向量机的储粮害虫图像识别

Image Recognition of Stored-grain Pests Using SVM and GA

建立支持向量机(SVM)模型,用遗传算法自动选择最优的核函数参数,利用该SVM与遗传算法相结合的新型算法对储粮害虫图像进行分类识别。结果表明,该方法所确定的SVM对储粮害虫具有较优的识别率,其整体性能优良。

A support vector machine（SVM） was established,genetic algorithm（GA） was adopted to automatically select excellent kernel function.A new type algorithm consisting of SVM and GA was used to classify and identify stored-grain pests image.The results showed that the image recognition of stored-grain pests based on SVM and GA was effective.