计算机应用与软件Issue(2)：143-147,5.DOI:10.3969/j.issn.1000-386x.2015.02.036
基于灰度共生矩阵信息融合的视频噪声识别算法
VIDEO NOISE IDENTIFICATION METHOD BASED ON GRAY LEVEL CO-OCCURRENCE MATRIX INFORMATION FUSION
摘要
Abstract
For the noise in video monitoring images,we propose an objective recognition and evaluation method for noisy video with five features information fusion and on the basis of gray level co-occurrence matrix (GLCM)by making use of difference information between two adjoining frames in video which can reflect the noises in video and combining GLCM.The method first conducts differential operation on two consecutive frames of video,and then applies GLCM to frame difference image to calculate five features of the image including information entropy,energy,inverse gap,sum of mean,and sum of variance.Finally,it uses support vector machine for training and learning of the information fusion to effectively identify the noisy video without reference.Experimental results show that and the prediction and recognition effect of this method is quite good,the recognition rate achieves up to 95.11% with fairly good consistency with the subjective recognition, and can get lower missing rate and false positive rate.关键词
视频噪声/灰度共生矩阵/信息融合/支持向量机Key words
Video Noise/Gray level co-occurrence matrix/Information fusion/Support vector machine分类
信息技术与安全科学引用本文复制引用
黄小童,陈黎,田菁,张晓龙..基于灰度共生矩阵信息融合的视频噪声识别算法[J].计算机应用与软件,2015,(2):143-147,5.基金项目
国家自然科学基金项目（61105010，61273225）；武汉市晨光计划项目（201150431095）；湖北省高等学校优秀中青年科技创新团队计划项目 （）
