基于图像质量分析与分割算子的图像特征点匹配算法

为了解决当前由于图像成像质量不稳定和分割不准确所导致图像匹配错误的不足,基于图像质量分析优化和分割算子,提出了基于图像质量分析和图像分割的图像匹配系统.根据图像对比度,建立质量评价函数,通过调节相机曝光,达到图像对比度分明的目的.通过阈值分割和形态学处理设计目标分割算子,根据目标特征匹配度,完成图像目标匹配.集成图像质量优化算子与分割算子于图像匹配系统,并编程实现,实验测试结果显示:与当前图像匹配方法相比,在图像成像质量不稳定的状况下,该方法拥有更高的匹配准确度.

Image feature point matching algorithm based on image quality analysis and segmentation operator

In order to solve the current image quality due to unstable and inaccurate segmentation in image matching error analysis and optimization of rent,the segmentation of image quality based on the proposed operator,image quality analysis and image segmentation based on matching system.Firstly,according to the contrast of the image,the quality evaluation function is set up.By adjusting the camera exposure,the purpose of image contrast is clear.Then,the target segmentation operator is designed by threshold segmentation and morphological processing.Finally,the integrated image quality optimization operator and segmentation in image matching system,and programming,the experimental test results show that compared with the current image matching method,this method has higher accuracy.