融合项目属性和云填充的计算机智能图像识别算法  

On the Identifying Algorithm of Computational Smart Imaging with the Integration of Project Property with Cloud-filling

作　　者：余云[1] 王本胜 姚丽莎[1] YU Hua;WANG Ben-sheng;YAO Li-sha(College of Information Engineering,Anhui Xinhua University,Hefei 230088,China;The Science of Software Development in An-hui Xinhua Computer Institute,Hefei 230031,China)

机构地区：[1]安徽新华学院信息工程学院,安徽合肥230088 [2]安徽新华电脑学院软件开发科,安徽合肥230031

出　　处：《遵义师范学院学报》2018年第3期81-83,共3页Journal of Zunyi Normal University

基　　金：安徽省高校自然科学重点项目(KJ2015A309);安徽省教育厅自然科学研究项目(KJ2015A325)

摘　　要：提出了一种项目属性和云填充的计算机智能图像识别算法。使用重复边收缩方法对图像进行识别,通过项目属性来度量整个图像的识别程度,在累加边折叠代价中,利用三角形权值,能够对较大形变图像的细节特征进行识别。作者提出的云填充方法可以确保图像识别时间的一致性,减小相邻帧之间的视觉跳变。实验结果表明:该算法具有较高的效率,易于实现,可以识别较低分辨率的图像。The identifying algorithm of computational smart imaging integrating property with cloud-filling is put forwards. The repeated contracted method is used to identify the image, and the identifying degree of image is measured through project property; besides, in the cost of accumulative edges, triangled weight is used to identify detailed features of deformed images. The author of this paper assumes that cloud-filling method can be used to ensure the agreement of image-identifying time and the visual jump between adjacent frames can be reduced. The experiments show that this kind of relatively effective identifying algorithm is easy to be realized and can be used to identify some images with relatively low resolution.

关 键 词：项目属性 云填充 识别 计算机智能图像 

分 类 号：TP391.3[自动化与计算机技术—计算机应用技术]