多尺度形态重构的微弱弹道轨迹检测

本文提出了一种多尺度形态重构的微弱弹道轨迹检测方法。该方法先用形态学灰值重构算法对序列图像进行背景估计并作二值化处理,提取出序列图像中的可疑目标。然后根据炮弹的凝聚特性对二值图像进行多尺度形态二值重构,消除二值图像中的大量虚警目标,最后根据炮弹的运动特性进行多帧数据融合检测弹道轨迹。仿真实验表明该方法能稳定检测出序列图像中的微弱弹道轨迹。

Dehazing algorithm for adaptively corrected transmission under multiscale morphology

In order to solve the problems of color bias and visual deviation caused by inaccurate estimation of transmittance and atmospheric light in image defogging,a new algorithm based on multi-scale morphological reconstruction with adaptive transmittance and atmospheric light correction was proposed.Firstly,the algorithm used the open operation under morphological reconstruction to replace the minimum filter operation in the dark channel,and used the morphological edge to set the scale of the open operation structure elements,and constructed a multi-scale open operation fusion dark channel.After morphological noise reduction,the exact initial transmittance was obtained.According to the relationship between brightness and saturation difference and transmittance,an adaptive transmittance correction model was fitted with Gaussian function to correct the initial transmittance of the sky fog map.Then the local atmospheric light was improved according to the image brightness information and morphology closure operation.Finally,the proposed algorithm was combined with the atmospheric scattering model to obtain an accurate fog free image.The experimental results showed that the proposed algorithm was suitable for fog image restoration under various scenes,the restoration effect was good,and the brightness was suitable.

一种基于WT⁃MMGR超像素技术的图像分割算法

在图像处理领域,谱聚类算法被广泛应用于图像分割任务。但对于背景复杂、色彩界限不明显的图像,传统的谱聚类算法往往无法准确地将目标物体分割出来,同时需要耗费大量的计算资源和时间。因此设计一种基于多尺度形态学梯度重构的分水岭超像素的改进谱聚类算法,它利用多尺度形态学梯度重构的分水岭超像素算法作为谱聚类算法的预处理步骤,将超像素处理所得的结果作为谱聚类的输入,以达到谱聚类算法的运算量目的。验证算法实验结果表明,所提出的改进谱聚类算法在图像分割任务中具有较好的边缘贴合度,并且程序的运行速率得到了显著提升。