激光图像融合算法

为了有效提高激光强度图像的质量,使其能够更好地与其他多源图像匹配,提出了一种激光强度图像与距离图像融合的方法.该方法首先分析了激光强度图像与距离图像不同类型像素点之间局部统计信息的差异,然后利用Ostu算法和模糊最小误差阈值算法求出强度像和距离像的局部统计信息的全局阈值和最佳阈值,最后将这些阈值作为融合参数,按照一定的融合规则,将强度像与距离像进行融合.仿真实验表明:与单纯的滤波算法相比,该融合算法在控制激光散斑噪声的同时,通过融合不同源图像的互补信息,达到提高激光强度图像的各方面性能的目的.

Laser Image Fusion Algorithm

In order to improve the quality of the laser intensity image effectively, to match with other multi-source images better. A laser intensity image and distance image fusion method is proposed. The method begins with an analysis of the local statistical information differences between the different types of pixels of the laser intensity image and distance image, and then calculate the local statistical information global threshold and the optimal threshold value of the intensity image and distance image by Ostu algorithm and fuzzy minimum error thresholding algorithm, and these thresholds will as image fusion parameters.Finally, according to some designated fusion rules, the intensity image and range image are fusioned. Simulation results show that compared with filtering algorithms , the fusion algorithm not only control of the laser speckle noise effectivly, but also can be to improve laser intensity image performance