计算机工程Issue(9)：30-33,44,5.DOI:10.3969/j.issn.1000-3428.2013.09.007
基于角点特征检测的视频图像质量评价方法
Video Image Quality Assessment Method Based on Corner Feature Detection
摘要
Abstract
In order to assess the image degraded quality problem of a video, an objective video quality assessment method based on corner feature detection is proposed. By simulating the test images degraded in a real environment, and simulated images are generated. Then the number of corner in different corner detection parameters for test images and simulated images are computed by binary edge image to curvature. The best test image and corner detection parameters for a real environment can be obtained. Furthermore, the video quality is divided into several grades by the number of the detected corner. Then the number of corner for the test image detected in a real environment is regarded as the discriminant basis of the video quality assessment. Simulations are carried out by Matlab, the results show that the result of proposed method is keeping with subjective evaluation results, it is efficient.关键词
角点特征检测/视频图像/图像质量评价/曲率尺度空间/Canny算子Key words
corner feature detection/video image/image quality assessment/curvature scale space/Canny operator分类
信息技术与安全科学引用本文复制引用
周正,田昕,周城,冯伟东,李涛,熊承义..基于角点特征检测的视频图像质量评价方法[J].计算机工程,2013,(9):30-33,44,5.基金项目
国家自然科学基金资助项目(61102064,61201268)；智能无线通信湖北省重点实验室开放基金资助项目(IWC2012003) （61102064,61201268）
