一种去光照干扰的运动目标图像分割算法

A Segmentation Algorithm of Moving Target Image Anti Light Interference

对模糊图像的多尺度分割,是解决许多计算机视觉处理问题的基础。传统的图像分割算法采用基于小波变换的局部特征匹配方法,无法有效去除光照的干扰,对运动目标图像的分割效果不好。提出一种基于模糊图像边缘能量特征提取的运动目标图像的去光照干扰分割方法。计算去光照干扰后的运动目标图像振幅分量和频率分量,采用混合函数控制曲线方法生成运动目标图像时间序列,计算每个尺度下计算运动目标图像的边缘能量特征,进行图像区域特征的非同态块匹配分割,最终生成灰度直方图二进制均衡系数,实现了运动目标图像的准确分割,去除了光照干扰。仿真结果表明,该算法具有分割结果准确,抗干扰能力较好,图像分割质量较优。

The segmentation of multi scale fuzzy image processing, computer vision is to solve many problems of the founda?tion. Traditional image segmentation algorithm using local feature matching method based on wavelet transform, can effec?tively remove the interference of light, it is not good for the movement of the target image segmentation effect. This paper presents a moving object image to extract the fuzzy image edge energy feature based on light interference to segmentation method. Calculation of interference of light after the moving target image amplitude and frequency components, using mixed function control curve generation method of moving target image time series, the edge energy characteristic calcula?tion of object image is calculated for each scale, feature of image region non homomorphic block matching segmentation, the final generation of gray histogram binary equilibrium coefficient, the realization of accurate segmentation of moving tar?get image, removed the interference of light. The simulation results show that, the algorithm has a good segmentation result, better anti-interference ability, the quality of image segmentation is better.