《基于多特征融合的稻叶病图像识别系统》 基于机器学习和深度学习算法开发了一个稻叶病图像识别系统，基于颜色特征分割提取稻叶病图像病斑，提取颜色、形状、纹理等多个病斑图像特征维度，基 于MCCA多视图典型相关分析进行特征融合得到集成特征，基于CNN、SVM进行稻叶病图像分类，进行了多个分类器对比实验，提高了稻叶病识别准确率和速度；校重点大学生科创基金项目，项目获第十一届“挑战杯”校大学生课外学术科技作品竞赛三等奖。
☆13Jul 30, 2024Updated last year
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