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Digital Image Processing, stretch of an image with two optional setting via realtime combobox (stretch or default size).

在google earth engine云平台对影像进行自动分类提取，需要手动输入样本及研究区(Automatic image classification and extraction on Google Earth engine cloud platform requires manual input of samples and research areas)

快速运动去模糊，在盲去卷积过程中运用一些加速算法(Fast motion to blur in the blind deconvolution algorithm to accelerate the process of using some)

调用 envi5.3自带的FMask云检测功能，并输出掩膜文件(Call the FMash cloud detection function of envi5.3 and output the mask file)

拉普拉斯变换是工程数学中常用的一种积分变换，又名拉氏转换。拉氏变换是一个线性变换，可将一个有引数实数t（t≥ 0）的函数转换为一个引数为复数s的函数。(Laplace transform is a commonly used engineering mathematics integral transformation, also known as Laplace Transform. Laplace transform is a linear transform, argument can be a real number t (t ≥ 0) is converted to a function of a complex number s argument of the function.)

各类图形处理算法代码，齐全的图形处理算法，可以直接运行。去噪，识别，检测，拼接等(Complete graphics processing algorithm, you can run directly. Denoising, identification, detection, stitching and so on)

基于帧差法的运动目标检测的matlab代码，先读取avi视频，提取每帧图片，进行目标跟踪。 (Read avi video, extract each frame image, and target tracking)

说明：  人脸检测算法对Haar特征推进，我们已经改善了大幅利用作为弱分类器的阈值中的累积概率分布点。(A face detector based on VJ algorithm (Boosting on HAAR features). We have improved the performance drastically by using mid cumulative probability distribution point as threshold for weak classifiers. )

Image segmentation systems have the potential to dramatically improve the performance of Digital image processing. Segmentation procedures partition an image into its constituent parts or objects. In general, segmentation is one of the most difficult tasks in digital image processing. Detection of salient image regions is useful for applications like image segmentation, adaptive compression, and region-based image retrieval. This problem can be tackled by mapping the pixels into various feature spaces, which are subjected to various grouping algorithms It present a novel method to determine salient regions in images using low-level features of luminance and color. The method is fast, easy to implement and generates high quality saliency maps of the same size and resolution as the input image.

运动目标检测的一些程序，包括帧差法、三帧差分法和混合高斯模型(Moving target detection procedures, including frame difference method, three difference method and Gaussian mixture model)