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一种可适用于复杂光照环境的低照度图像增强算法，即基于内容感知的自适应对比度提高的增强算法。引入了改进的伽马矫正，可以根据低照度图像的明暗程度自适应的对图像进行预处理。在实验过程中还发现，虽然改进算法有效避免引入大量噪声，但仍有少量噪声存在，为了达到更好的视觉效果，利用改进的双边滤波对增强的图像进行处理，获得最后的增强图像。实验效果显示，该算法可对低照度图像实现理想的增强效果。(A can be applied to complex light environment of low illumination image enhancement algorithm, which based on the content of perception adaptive contrast enhancement algorithm. Introduced the improvement of gamma correction, can according to the low illumination image of light and shade degree adaptive to image preprocessing. In the process of experiment also found that although the improved algorithm effectively avoid introducing a lot of noise, but there still have a small amount of noise, in order to achieve better visual effect, use of improved bilateral filtering to enhance the image processing, finally enhance image. The experimental results showed that the algorithm can achieve a low illumination image enhancement effect. )

harris角点检测，并且实现两幅图像特征点的匹配，最终完成图像的拼接(harris corner detection, and realize two image feature point matching, the final completion of image stitching)

改进的sift算法，称为surf，来实现图像的匹配，并显示。 (Improved sift algorithm, known as the surf, to achieve the image matching, and displayed.)

图像处理中的深度学习，主要是原理的讲解，比较易懂,对于。(Image processing in deep learning, mainly to explain the principle, relatively easy to understand.)

说明：  基于c#运动控制及图像处理项目源码，有兴趣可以看看(Based on C# motion control and image processing project source code)

内含张正友，tsai的标定方法，可以求解摄像机内参数u轴尺度因子，v轴尺度因子，摄像机外参数：两摄像机坐标系原点之间的旋转矩阵和评议矩阵，可以得出摄像机像素参数，焦距，畸变系数，并且带有优化结果。(Containing Zhang Zhengyou, tsai calibration method that can solve the camera parameters u-axis scale factor v The axis scale factor, the camera extrinsic parameters: the rotation matrix between the two camera coordinate origin, and appraisal matrix can be drawn from the camera pixel parameters, focal length distortion coefficient, and with optimal results. )

使用matlab实现的,基础单变量以及多变量梯度下降算法,和信号分类以及信号归一化部分算法，是机器学习领域最基本的代码，希望大家多多交流(matlab implementation of basic univariate and multivariate gradient descent and signal classification algorithms, machine learning basic code, hope that more exchanges)

关于snake算法对图像处理的实现，包括相关实例。 不错!(On the snake image processing algorithm to achieve, including relevant examples. Yes!)

用于图像融和的窗口化工具，包含了几乎所有的常用融和算法：pca, Ihs, 金子塔,小波变换，多孔小波变换，brovey融合等。(The window for image integration tools, including almost all of the commonly used integration algorithm: pca, Ihs, pyramid, wavelet transform, multi-Kong Xiaobo transformation, brovey integration.)

边缘检测 的 matlab粒子群程序序源码 ，希望对你有所帮助 (Edge detection matlab particle swarm procedure sequence source, you want to help)