delineator

MATLAB实现gabor滤波器，程序默认为5个尺度，8个方向。(MATLAB realization gabor filter, the program defaults to 5 scale, eight directions.)

说明：  利用Hough变换实现半径未知的圆形物体的检测(Use Hough transform to achieve a circular radius of an unknown object detection)

本程序为图像锐化的经典程序，源码里有详细的标注。(the procedures for sharpening images of the classic procedures are detailed source of tagging.)

本程序实现Bilateral滤波，以实现边缘保留的平滑处理，同时可用于灰度及彩色图像。(Bilateral filtering realize this procedure in order to achieve a smooth edge to retain the handle at the same time can be used for gray and color images.)

说明：  利用CFAR检测SAR图像中的高亮度目标。(Detect targets with high backscattering intensities by CFAR algorithm)

说明：  基于matlab的简易小波阈值去噪，小波变换基础上变换阈值实现对图像的去噪(Matlab based on the simple wavelet transform, simple image denoising)

图像扭曲变形程序，可以对图像进行扭曲变形。 功能：旋转扭曲/球面镜变形，B样条网格变形，TPS网格变形 (Image distortion program, the image may be distorted. Function: Twirl/spherical mirror deformation, B-spline morphing, TPS morphing)

说明：  基于空域的脆弱水印算法，该方法最具代表性的是最低有效位（LSB）法，也就是文件中的方法，两个文件分别给出了水印的生成和检测。(Airspace based on fragile watermarking algorithm, the method is the most representative of the least significant bit (LSB) method, which is the method of the document, two documents were given watermark generation and testing.)

两次利用大津法对图像进行分割，将前景与背景，白色区与背景分割开，并二值化。(Otsu method twice using image segmentation, the foreground and background, white background area and separate, and binary.)

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)