RETINEX

基于MATLAB对输入图像的进行灰度化处理(Grayscale processing of the input image based on MATLAB)

求解声压级，总声压，三分之一倍频程，倍频程，能量谱密度(get one third octave)

实现瑞雷面波的频散曲线提取，并应用频散曲线模拟面波并成像，随即进行面波的逆频散(Inverse dispersion of the Rayleigh wave dispersion curve extraction and application of dispersion curves simulated surface wave imaging, then surface wave)

系统地分析了各向异性扩散方法的理论基础，并提出了边缘保留与基于结构张量的各向异性扩散算法(Systematic analysis of the theoretical basis of anisotropic diffusion method, and proposed to retain the edge of the structure tensor based anisotropic diffusion algorithm)

有较好的参考价值，进行波形数据分析,实现六自由度运动学逆解算法。( There are good reference value, Waveform data analysis, Six degrees of freedom to achieve inverse kinematics algorithm.)

说明：  是马尔可夫图像分割的C++程序，可以用于遥感图像(It's a C++ program for Markov image segmentation, which can be applied to remote sensing images.)

灰度图生成程序 可以生成BMP/JPG格式的灰度图 大家可以随便使用下载(Grayscale generator can generate BMP/JPG format, you can easily use the download grayscale)

针对杂波环境下的多个机动目标跟踪问题, 本文将多模型概率假设密度 (Multiple-model probability hypothesis density, MM-PHD) 滤波器和平滑算法相结合, 提出了 MM-PHD 前向 – 后向平滑器. 为了避免引入复杂的随机有限集 (Random finite set, RFS) 理论, 本文根据 PHD 的物理空间 (Physical space) 描述法推导得到了 MM-PHD 平滑器的后向更 新公式. 由于 MM-PHD 前向–后向平滑器的递推公式中包含有多个积分(By integrating the multiple-model probability hypothesis density (MM-PHD) filter with the smoothing al- gorithms, an MM-PHD forward-backward smoother is proposed in this paper for tracking multiple maneuvering targets in clutter. To avoid use of complex random finite set (RFS) theory, the backward updated equation of the MM-PHD smoother can be derived according to the physical-space explanation of the PHD)

提取特征点并匹配，有基于相关系数和最小二乘两种方法。(Extracting feature points and matching)

直方图均衡（HE），自适应直方图均衡（AHE），限制对比度的直方图均衡（CLAHE）的图像处理算法，运行无错误，效果还不错。包含循行结果对比。(Histogram equalization (HE), adaptive histogram equalization (AHE), and contrast-limited histogram equalization (CLAHE) image processing algorithm run without error, and the effect is good. Include line-by-line results comparison.)