TORGB

说明：  这是一篇关于大气湍流退化图像复原的硕士论文，我用matlab对该论文中阐述的方法进行了仿真(This is a master's thesis on the restoration of atmospheric turbulence degraded images. I used Matlab to simulate the methods described in this paper.)

三维图像重建,采用多种滤波方法，实现三维图像重建，该算法效率比较高。目前已经应用到实际工程。(3-dim picture recreat,use filter method and project method to realise the recreating of 3 dim picture.it is a very effective method ,applied in the project.so I share it with you . )

说明：  GVF snakes. 最近学习用到的code，可以帮助图像处理入门级的学生了解GVF snake的实现。(GVF snakes. Recent study used the code, image processing can help entry-level students to understand the realization of GVF snake.)

LDA实现人脸特征提取和识别，用matlab编写，和结果分析(A matlab code of LDA for face recognition)

说明：  这篇论文提出了一种较好的水下图像增强的方法。首先使用经过端到端训练的卷积神经网络去测量输入图片，同时以自适应双边滤波器对传输图片进行处理。接着提出一种基于白平衡的策略来消除图片的颜色偏差，用拉普拉斯金字塔融合获得无雾和色彩校正图像的融合结果。 最后，输出图像被转换为混合小波和方向滤波器组（HWD）域，用于去噪和边缘增强。 实验结果表明，该方法可以消除颜色失真，提高水下图像的清晰度。(This paper proposes a better underwater image enhancement method. Firstly, an end-to-end training convolutional neural network is used to measure the input image, and an adaptive bilateral filter is used to process the transmitted image. Then a strategy based on white balance is proposed to eliminate the color deviation of images. The fusion results of fog-free and color correction images are obtained by Laplacian pyramid fusion. Finally, the output image is converted into hybrid wavelet and directional filter bank (HWD) domain for denoising and edge enhancement. The experimental results show that the method can eliminate color distortion and improve the clarity of underwater images.)

说明：  采用kalman滤波器进行目标跟踪的源代码(object tracking using kalman filter)

针对目前工业制造领域面临的难题,提出利用非量测数字摄像机进行工业钣金件高精度三维重建与视觉检测.采用二维直接线性变换分解摄像机参数初值并结合光束法平差进行高精度标定 利用最小二乘模板匹配提取像面上的点、直线信息并进行混合光束法平差,从而进行钣金件的高精度三维重建及其尺寸制造误差的检测.所开发的视觉检测系统硬件成本低、自动化程度较高,实际数据的多次实验均取得了优于1/8 000的相对精度,说明所论述的方法为工业零件的自动化三维检测提供了一条可行途径.(View of the current challenges facing the field of industrial manufacturing, made use of non-metric digital camera precision sheet metal parts for industrial reconstruction and visual inspection. Using two-dimensional direct linear transformation and the decomposition of initial parameters of the camera bundle adjustment with high accuracy calibration extracted by the least square template matching, like the surface of point, line information and mixed bundle adjustment to the three-dimensional reconstruction of high-precision sheet metal parts and the size of the detection of manufacturing errors. visual inspection system developed by the hardware low cost, high degree of automation, the actual data, many experiments have achieved better than 1/8000 of the relative accuracy, that the methods discussed in the automation of industrial components to provide a feasible three-dimensional detection approach.)

说明：  在我们的移动端开发中，需要用到折线图，本篇内容就是用flutter写的一个折线图例程。(In the development of our mobile terminal, we need to use the line chart. This article is a line chart routine written by flutter.)

存取图像字段 数字图像的存取 将图像转化为数字信息(Access image field )

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