目标感兴趣区域检测算法  

Detection algorithm for region-of-interest

作　　者：宋燕星[1] 袁峰[2] 丁振良[2] 

机构地区：[1]防灾科技学院防灾仪器系,河北三河065201 [2]哈尔滨工业大学自动化测试与控制系,哈尔滨150001

出　　处：《吉林大学学报（工学版）》2010年第5期1421-1425,共5页Journal of Jilin University:Engineering and Technology Edition

基　　金：国家自然科学基金项目(50275040)

摘　　要：将形态Haar小波与数学形态学方法相结合,用于实现目标感兴趣区域(Region-of-interest,ROI)的检测。将采集图像进行二维形态Haar小波分解,结合目标ROI检测要求的特点,仅在尺度信号域内应用设计的目标ROI检测算子,最终完成目标ROI的检测。仿真实验结果表明,该方法能以较低的虚警率和较高的检测率完成目标ROI检测,且运算简单,大大节省了运算时间和硬件资源,降低了系统设计成本。In this paper the morphology Haar wavelet and mathematic morphology are integrated and employed to detect the Region-of-Interest （ROI） of the targets. An image is decomposed with morphology Haar wavelet first; then considering the feature of target ROI detection, new ROI detection operator is applied only in the field of the scale signals to complete the target ROI detection. Simulation results indicate that the proposed detection method can find complete target ROI detection with high detection ratio and low false alarm ratio. It can save both operation time and hardware, thus reduce the cost of the system.

关 键 词：信息处理技术 目标识别 形态Haar小波 数学形态学 目标感兴趣区域 

分 类 号：TN911.7[电子电信—通信与信息系统]