【作者】 张肃； 于远航； 张宇； 王文生；

【Author】 Zhang Su Yu Yuanhang Zhang Yu Wang Wensheng(Laboratory of Contemporary Optical Measure Technology,Changchun University of Science and Technology,Changchun,130022,China)

【机构】 长春理工大学现代光学测试技术研究室；

【摘要】 现如今微光目标的探测识别受到广泛地关注。应用相关识别原理并结合小波变换的阈值化分割方法,应用小波系数在图像像面上逐步细化图像分割,将目标从复杂背景与强背景噪声中分离出来,通过相关识别方法,从而达到识别微光目标的目的。通过大量计算机模拟实验验证表明,此算法在相关识别方法中应用sym4小波变换,能有效的增强探测目标的相关点亮度,对于处理微光目标的探测识别具有良好的可行性。更多还原

【Abstract】 Low light level target detection and recognition have been paid more attentions in recent years.In this paper,we use the principle of correlation recognition and the method of threshold segmentation based on wavelet transform,which can apply wavelet coefficients to segment the image in detail in the image plane and distinguish the useful targets from the cluttered backgrounds and strong noises,so that we can recognize the low light level target efficiently through the method of correlation recognition.According to many experiments of low light level targets with computer simulation method,this algorithm using sym4 wavelet transform in correlation recognition method can enhance the brightness of the target correlation peaks efficiently,and this processing method can be put into practice to detect the low light level target feasibly and reasonably.更多还原