基于计算机技术的模糊图像特征提取和分类识别技术研究

Research on Feature Extraction and Classification Recognition Technology of Fuzzy Image Based on Computer Technology

图像在拍摄过程中如果存在模糊图像,不仅无法准确提取模糊图像的特征,也无法分类识别图像,为此进行基于计算机技术的模糊图像特征提取和分类识别技术研究。该方法根据模糊图像特征提取准则分析模糊图像特征极值区域,进而提取模糊图像特征,然后针对已经提取的模糊图像特征,分类识别模糊图像。实验证明,基于计算机技术的模糊图像特征提取和分类识别技术,可以根据提取到的图像特征轻松识别图像。

If there are fuzzy images in the shooting process,it is not only unable to accurately extract the features of fuzzy images,but also can not classify and recognize images.Therefore,this paper studies the fuzzy image feature extraction and classification recognition technology based on computer technology.According to the fuzzy image feature extraction criteria,the extremum region of fuzzy image features is analyzed,and then the fuzzy image features are extracted.Experiments show that the fuzzy image feature extraction and classification recognition technology based on computer technology can easily identify images according to the extracted image features.