红外与毫米波学报2020，Vol.39Issue(5)：650-658,9.DOI:10.11972/j.issn.1001-9014.2020.05.016
基于方向梯度直方图和局部对比度特征的海面背景红外图像分类
Maritime background infrared imagery classification based on histogram of oriented gradient and local contrast features
摘要
Abstract
In the complex and changeable sea environment,when using infrared imaging technology to search and rescue small and medium targets on the sea surface,it is necessary to classify the collected original images in order to facilitate the subsequent target processing in different scenes. According to different environmental condi-tions,the sea infrared images are divided into five kinds of scenes. The training set images are extracted from two aspects:one is to divide an image into basic layer and detail layer by the Gaussian filter,and use improved histo-gram of oriented gradient(HOG)method to extract the features;the other is to extract features by calculating lo-cal contrast of images. The extracted feature vectors are fused and input into the classifier,and the test set images are classified by support vector machine(SVM). In this paper,a new feature descriptor combined with HOG and local contrast method(LCM)is used to classify the scene of sea infrared image. Compared with other methods, the results show that the accuracy of the improved method is 96. 4％,which reflects the feasibility and effective-ness.关键词
背景分类/特征描述符/方向梯度直方图/局部对比度方法/红外图像Key words
background classification/feature descriptors/histogram of oriented gradient(HOG)/local contrast method(LCM)/infrared images分类
信息技术与安全科学引用本文复制引用
董丽丽,张彤,马冬冬,许文海..基于方向梯度直方图和局部对比度特征的海面背景红外图像分类[J].红外与毫米波学报,2020,39(5):650-658,9.基金项目
Supported by the National Natural Science Foundation of China(61701069)and the Fundamental Research Funds for the Central Univer-sities of China(3132019340,3132019200). （61701069）
