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图像格式转换例程源码，程序主要结合易语言图像格式转换支持库，可以将某些图象文件的格式转换到其它图象文件的格式(Image format conversion routines source, the program mainly with easy language support library image format conversion , you can convert some of the image file format to other image file format)

图像拼接，用于实现多种格式，批处理遥感数据(Image mosaic, used to implement a variety of formats, batch processing of remote sensing data)

图像频域滤波，实现图像频域滤波，加深对频域图像增强的理解(Image frequency domain filtering, image frequency domain filtering, to deepen understanding of the frequency-domain image enhancement)

说明：  使用LazySnapping算法对GrabCut算法进行改进(There are advanced segmentation algorithms in the literature which extends the concepts of graph cuts. Most prominent of them are Graph cuts and Lazy Snapping. Lazy napping is an interactive image cut out tool. Lazy Snapping separates coarse and fine scale processing, making object specification and detailed adjustment easy.)

openCV+MFC（VS2008）canny边缘检测，能用滑动条调节参数(openCV+MFC (VS2008) canny edge detection, use the slider to adjust parameters)

bag of words 图像识别算法，斯坦福大学李飞飞实验室做的demo(bag of words)

几种基本的CFAR检测方法的比较，各种杂波背景分布的参数估计方法等等(Comparison of basic types of CFAR detection method, a variety of clutter distribution parameter estimation methods, etc.)

图像压缩实例，使用函数wdcbm2()获取信号压缩阀值(the example for image compression using wdcbm2() which is a wavelet function )

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)

语音信号小波去噪 在小波基 db3 下进行一维离散小波反变换 对输出信号抽样点值进行归一化处理(Speech signal wavelet de-noising in wavelet bases ' db3' one-dimensional discrete wavelet transform on the output signal sample point value normalization)