计算机应用与软件2018，Vol.35Issue(1)：243-245,317,4.DOI:10.3969/j.issn.1000-386x.2018.01.042
基于DSP的自适应弱小目标检测方法
ADAPTIVE DIM AND WEAK TARGET DETECTION METHOD BASED ON DSP
摘要
Abstract
Aiming at the problem of dim and weak target detection in complex background,a new method of adaptive background prediction for dim and weak detection based on DSP is proposed.The method is centered on DSP of the embedded image processing system platform and based on self-adaptive background prediction.The algorithm using for dim and weak target detection was programmed with C language on Code Composer Studio 3.3 which is an integrated development environment for DSP.Firstly,according to the gray characteristics of adjacent pixels,the adaptive background prediction model is selected to get the background image and the residual images were obtained by subtracting the prediction image from the original image.Secondly,the two value image is obtained by cross difference algorithm and adaptive threshold segmentation.Finally,the real dim and weak target was detected combining with the logical and algorithm and open operation of mathematical morphology.Experimental results show that this method can effectively detect the dim and weak target,and the preprocessing time of this method is 22％ less than of median filtering algorithm,the probability of fault decreased by 6％,the target point size increased by 2.3 times.It is also laying the foundation of real-time detection of dim and weak target on industrial scene.关键词
DSP/自适应背景/弱小目标/Code Composer Studio 3.3Key words
DSP/Adaptive background/Dim and weak target/Code composer studio 3.3分类
信息技术与安全科学引用本文复制引用
李天甲,许四祥,姚志生,王洋..基于DSP的自适应弱小目标检测方法[J].计算机应用与软件,2018,35(1):243-245,317,4.基金项目
国家自然科学基金项目(51374007) （51374007）
安徽省自然科学基金项目(11040606M104) （11040606M104）
研究生创新基金项目(2016063) . （2016063）
