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运用openCV编写的C++图像色彩转移程序，原理是先转化到Lab图像，再保持L不变调整图像的a、b分量的均值跟方差。(Using openCV prepared C++ image color transfer process, the principle is first converted to Lab image, and then adjust the image to keep L constant a, b, with the mean variance component.)

Sobel算子就是一种基于方向导数掩模求卷积的方法。通过边缘检测算子可以检测到每个像素的领域并对灰度变化率进行量化，也包括方向的确定。该代码是基于sobel算法的检测程序。(Sobel operator is a directional derivative mask and convolution methods. To each pixel and gray level in the field rate of change can be detected through the edge detection operator to quantify, including direction. The code is based on sobel algorithm testing procedures.)

该代码是对图像进行二值化处理，进行图像分割(The code is to binarize the image, the image segmentation)

实现图像颜色识别分块实现图像颜色识别分块(Block of image color recognition)

能计算一幅噪声图像的加权峰值信噪比，以评价各种图像去噪方法的效果(Can calculate an image of the weighted noise PSNR to evaluate the effect of image denoising methods)

推荐火灾检测的参考文献，有火焰多个特征提取的算法。(the article is about how to detect fire，using many algorithms to get the features of fire.)

用于图像处理中的感兴趣区域的提取，以便对物体进行识别(extract the ROI in image process)

细化。通过MATLAB对图像进行细化提取骨架处理，从而方便进行下一分析(Refinement zs appises the Zhang-Suen skeletonization algorithm to image IM. IM must be binary.)

ViBe算法是由Olivier Barnich 和 Marc Van Droogenbroeck在2011年提出的一种背景建模方法。该算法采用邻域像素来创建背景模型，通过比对背景模型和当前输入像素值来检测前景.(ViBe algorithm is a background modeling method proposed by Olivier Barnich and Marc Van Droogenbroeck in 2011. The neighborhood pixels are used to create the background model, and the foreground is detected by comparing the background model and the current input pixel values)

CVPR2013中出现的一种显著性特征检测算法，该算法用于模拟人眼视觉识别过程，提取图像中的显著性特征借后期目标对象的检测跟踪等使用，该算法(Context-Aware Saliency Detection。matlab implementation of an classical saliency detection alrogithm,which imitate our recognition process of eyes)