teng-yg01

现对图像进行边缘提取，然后利用霍夫变换提取图像中的圆环(Is image edge extraction, and then extracted using Hough transform image circle)

灰度共生矩阵、灰度梯度共生矩阵提取纹理特征(Gray Level Co-occurrence matrices, gray-gradient co-occurrence matrix texture features extracted)

说明：  基于matlab的图像处理，裂纹检测算法，非常适合初学者学习(Image processing and crack detection algorithm based on MATLAB are very suitable for beginners to learn)

在工程运用中，我们往往在卡尔曼滤波器后端连接平滑滤波器构成平滑卡尔曼滤波器，来加强滤波性能的改善，程序通过简单输入信号 在增加随机观测噪声情况下 在平滑卡尔曼滤波前后进行观测对比，可得平滑卡尔曼滤波性能得到了改善。(In engineering application, we often back-end connections in the Kalman filter Kalman smoothing filter the smoothing filter, to enhance filter performance improvement program by simply increasing the input signal in the case of random measurement noise Kalman filter before smoothing contrast observation can be obtained Kalman smoothing performance is improved.)

Zhang等人 利用相位一致性信息的特性，提出了 特征相似性方法(FSIMG) ，选取了相位一致性信息和梯度信息 作为它的两个特征，得到了较好的结果。 (A novel feature similarity (FSIM) index for full reference IQA is proposed based on the fact that human visual system (HVS) understands an image mainly according to its low-level features. Specifically, the phase congruency (PC), which is a dimensionless measure of the significance of a local structure, is used as the primary feature in FSIM. Considering that PC is contrast invariant while the contrast information does affect HVS’ perception of image quality, the image gradient magnitude (GM) is employed as the secondary feature in FSIM. PC and GM play complementary roles in characterizing the image local quality. After obtaining the local quality map, we use PC again as a weighting function to derive a single quality score. Extensive experiments performed on six benchmark IQA s demonstrate that FSIM can achieve much higher consistency with the subjective uations than state-of-the-art IQA metrics.)

本程序包是关于图形处理和人脸识别的,包括人脸Gabor特征提取，canny算子，水线阈值方法等．大家可以一起参考(The package is on the graphics processing and face recognition, including face Gabor feature extraction, canny operator, waterline threshold methods. Together we can make reference)

说明：  小波阈值去噪。对灰度图像和二值图像进行滤波。(Wavelet thresholding filter . Denoiseing for the gray image and binary image .)

说明：  关于电子稳像的，挺有用！是用matlab为开发环境的~~(On electronic image stabilization, quite use! Is the environment for the development of matlab ~ ~)

Graph cut with matlab. It is very powerful

传统的几种图像增强与去噪方法，包括直方图处理，灰度变换，滤波去噪等几类。细分为直方图均衡化，直方图规定化，灰度线性变换，中值滤波，维纳滤波，同态滤波(The traditional methods of image enhancement and denoising include histogram processing, grayscale transformation, filtering and denoising. Subdivided into histogram equalization, histogram specification, gray level linear transformation, median filtering, Wiener filtering, homomorphic filtering)