基于轮廓投影算法的智能终端数字媒体图像信息识别研究  

Research on digital media image information recognition of smart terminal based on contour projection algorithm

作　　者：汤云敏[1] TANG Yunmin(Xi’an Peihua University,Xi’an 716000,China)

机构地区：[1]西安培华学院,西安716000

出　　处：《自动化与仪器仪表》2024年第2期20-23,共4页Automation & Instrumentation

基　　金：2021年度陕西省教育科学“十四五”《新文科背景下应用型本科高校播音与主持艺术专业人才培养探索与实践研究》(SGH21Y0357)。

摘　　要：为了实现更高精度的数字图像信息识别,研究基于轮廓提取和轮廓质心高度增量特征描述符构建,并采用形状复杂度分析对描述符相似度计算进行优化和调整,完成对图像目标的识别。在对基于轮廓质心高度增量特征的数字媒体图像目标识别方法的有效性验证实验中,研究提出的方法的检索性能优于表中提出的几种常用方法,检索率提升了5.69%~24.81%。实验结果表明质心高度增量描述符精确地描述了轮廓点与点之间的位置关系,对于相似轮廓的区分性能更好,也验证了轮廓的复杂度评价可以帮助提升匹配结果的可信度。在带噪声的图像识别实验中,噪声水平增加到0.6以上时,虽然检索精度出现了明显下降,但仍能保持较高的识别精度,说明研究提出的方法对于噪声的干扰具有较强的鲁棒性。In order to achieve higher accuracy digital image information recognition,the study completes the recognition of image targets based on contour extraction and contour center-of-mass height incremental feature descriptor construction,and optimizes the descriptor similarity calculation using shape complexity analysis.In the validation experiments of the effectiveness of the digital media image target recognition method based on contour center-of-mass height incremental features,the retrieval performance of the proposed method of the study is better than several common methods proposed in the table,and the retrieval rate is improved by 5.69%~24.81%.The experimental results illustrate that the center-of-mass height increment descriptor accurately describes the position relationship between contour points and points,and provides better performance for distinguishing similar contours,and also verifies that the complexity evaluation of contours can help improve the confidence of matching results.In the image recognition experiments with noise,when the noise level increases above 0.6,although the retrieval accuracy shows a significant decrease,it can still maintain a high recognition accuracy,which indicates that the method proposed in the study has a strong robustness to the interference of noise.

关 键 词：数字媒体 目标识别 轮廓特征 质心高度增量 边缘检测 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]