为了从红外热图像中识别和跟踪目标,提出了一种采用数学形态学和小波变换相结合的红外图像处理新方法。
In the purpose of recognizing and tracking targets from infrared thermal images, an infrared image processing algorithm based on mathematical morphology and wavelet transform was presented.
本文在对基于频率域的图像融合方法研究的基础上,提出了一种改进的基于形态学小波的多聚焦图像融合方法。
After the research on the image fusion method based on the frequency domain, this paper proposed an improved multi-focus image fusion method based on morphological wavelet.
提出了利用小波来去除雷达平面位置图像(PPI)的散点噪声,然后利用形态学原理构造目标结构元来滤除斑点噪声和杂波。
In this paper, wavelet is used to erase speckle noise in radar PPI, and the principle of morphology is used for building structure element to filter off the speckle noise and clutter.
针对焊接图像噪声大、稳定性差的特点,提出了一种基于小波降噪和形态学模糊检测的算法。
In view of the welding image feature of strong noise and poor stability, a fuzzy detection algorithm of welding image based on wavelet and morphology denoising was presented.
本文主要以图像除噪为研究对象,介绍了图像的降噪方法—平均值法、形态学滤波器、中值滤波器以及小波。
This paper is mainly studied denoising of image. Denoising methods of image are introduced such as average method, morphological filtering, median filt ring and wavelet.
利用小波变换和数学形态学的方法对高分辨率遥感影像的面状地物居民地进行识别提取。
This article discusses the method of using Wavelet Transform and Mathematics Morphologic Subject to extract the canal of the area objects on the high resolution remote sensing image.
针对不完全小波树形结构分解提取纹理特征仅对清晰度高的图像效果佳,运算速度慢的问题,提出基于形态学预处理的不完全小波树形分解快速提取图像纹理特征的算法。
Low operation speed and being only fit for high quality images are the disadvantages of incomplete tree-structured wavelet. To deal with this problem, a new algorithm was proposed.
针对不完全小波树形结构分解提取纹理特征仅对清晰度高的图像效果佳,运算速度慢的问题,提出基于形态学预处理的不完全小波树形分解快速提取图像纹理特征的算法。
Low operation speed and being only fit for high quality images are the disadvantages of incomplete tree-structured wavelet. To deal with this problem, a new algorithm was proposed.
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