【摘要】 在传统的小波多尺度边缘检测的基础上,利用相邻尺度上小波系数相乘的性质,提出一种噪声目标的边缘检测算法,同时对一般的小波阈值方法加以改进,得到一种自适应阈值方法,从而达到增强边缘,抑制噪声的效果,并相应提高了边缘检测的精度。对实际拍摄的含噪军事目标进行仿真试验的结果表明,该算法检测出的图像边缘轮廓清晰,细节突出,去噪效果好,因而在军事上具有一定的实用性。更多还原

【Abstract】 On the basis of traditional wavelet edge detection technique,an improved edge detection algorithm for noise objects was proposed by using wavelet scale product.The method made use of the multiplication of wavelet coefficient and the wavelet model maximum edge detection operator to enhance image edge and reduce noise.At the same time,the traditional threshold-selected method was improved and a self-adaptive threshold was put forward.It improved the accuracy of edge detection.The experiment result of the noise military objects shows that the edge contour is clear and the detail is outstanding.Therefore,the algorithm has its practicability in military.更多还原