云计算下大规模激光图像快速分类和识别方法  

A method for fast classification and recognition of large-scale laser images in cloud computing

作　　者：朱阳燕 梅香香 ZHU Yangyan;MEI Xiangxiang(School of computer and information engineering,Nantong Institute of Technology,Nantong Jiangsu 226002,China)

机构地区：[1]南通理工学院计算机与信息工程学院,江苏南通226002

出　　处：《激光杂志》2025年第3期113-119,共7页Laser Journal

基　　金：江苏省高等学校基础科学(自然科学)研究面上项目(No.22KJD520008)。

摘　　要：大规模激光图像识别方法受到计算能力和数据处理速度的限制,难以满足快速分类和识别需求。云计算的出现,给解决该问题提供了思路。设计一种云计算下大规模激光图像快速分类和识别方法。利用云计算平台对激光图像进行数学形态分析和预处理,确保图像在后续处理中能够保持一致的形态和特征。借助平台上的小波分析技术,对预处理后的激光图像实施降噪处理,有效去除图像中的噪声干扰,提升图像质量。在得到无噪声图像后,进一步利用云计算平台的分布式资源,高效提取图像特征,获取精确描述图像纹理属性的特征参量。将这些特征参量与其他特征相结合,共同构建出完整的图像特征向量。通过比较不同图像的特征向量,准确判断它们之间的相似性和差异性,实现激光图像的精确分类和识别。实验数据对比分析表明,相较于传统方法,该方法在处理速度和识别精度上均有显著的提升,不仅能够有效地处理大规模激光图像数据,还能显著提高图像识别的准确性和效率,为激光图像识别技术的发展提供了新的思路和方法。Large scale laser image recognition methods are limited by computational power and data processing speed,making it difficult to meet the needs of fast classification and recognition.The emergence of cloud computing provides ideas for solving this problem.Design a fast classification and recognition method for large-scale laser images under cloud computing.Using cloud computing platforms to perform mathematical morphology analysis and preprocessing on laser images,ensuring that the images maintain consistent morphology and features in subsequent processing.With the help of wavelet analysis technology on the platform,the preprocessed laser images are subjected to denoising processing,effectively removing noise interference in the images and improving image quality.After obtaining noise free images,the distributed resources of cloud computing platforms are further utilized to efficiently extract image features and obtain feature parameters that accurately describe image texture attributes.Combine these feature parameters with other features to construct a complete image feature vector.By comparing the feature vectors of different images,accurately determining their similarities and differences,achieving precise classification and recognition of laser images.Comparative analysis of experimental data shows that compared to traditional methods,this method has significantly improved processing speed and recognition accuracy.It can not only effectively process large-scale laser image data,but also significantly improve the accuracy and efficiency of image recognition,providing new ideas and methods for the development of laser image recognition technology.

关 键 词：云计算 大规模激光图像 降噪处理 特征提取 快速识别 

分 类 号：TN209[电子电信—物理电子学]