visual_tracking_code

使用vs2012+opencv2.4.5做的人脸检测代码，可以实现对静态图像上人脸的检测(Use vs2012+ opencv2.4.5 do face detection code, you can achieve detection of static images of the human face)

此FCM-PSO是对于FCM的改进，用于图像分割，效果好。(it is an improvement on FCM for image segmentation)

一维数据的Kalman滤波处理，线性卡尔曼滤波的Simulink仿真(Kalman filter processing for one-dimensional data, Simulink simulation for linear Kalman filtering)

shixian 图形图像编码，图像压缩以及分析(shixian graphics image coding, image compression and analysis)

说明：  图像的超分辨率重建程序，matlab程序，很不错，需要的朋友请下载。(Image super-resolution reconstruction program, matlab program, very good friends in need, please download.)

可用于matlab 人脸检测，准确率较高。(It can be used in matlab face detection, with higher accuracy.)

数字图像处理中的可逆水印算法，基于差值扩展而得，其容量与其图像像素有关。(The reversible watermarking algorithm in digital image processing is based on the spread of the difference, and its capacity is related to the pixel of the image.)

python实现人脸识别，通过pca进行降维然后使用SVM算法进行分类(Python realizes face recognition, dimensionality reduction through pca and classification by SVM algorithm)

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.)

一种基于IBR的图像拼接算法，可以在matlab环境下较快拼接成360°全景图(IBR based on the image mosaic algorithm, matlab environment can be quickly spliced into a 360 ° panorama)