dct

图像检索——提取颜色特征：HSV空间颜色直方图(将RGB空间转化为HSV空间并进行非等间隔量化，将三个颜色分量表示成一维矢量，再计算其直方图作为颜色特征。(Image Retrieval- extract color features: HSV space color histogram (RGB space into the HSV space and the non-interval to quantify the three color components expressed as a one-dimensional vector, then calculate the color histogram as a feature.)

通过边缘检测寻找图像上圆点的圆心坐标，可用于大量的图像处理程序(Image through edge detection to find the center coordinates of the dots)

说明：  几种图像融合评价指标，AG,EN,FMI,MI,Qab,Qw,SF,SSIM，即平均梯度AG、信息熵EN、特征互信息FMI、互信息MI、边缘信息保持量Qab、加权融合质量评价因子Qw、空间频率SF和相似性指数SSIM。能较好的描述图像融合结果，稳定性较好。(Several evaluation indexes of image fusion, Ag, en, FMI, MI, qAB, QW, SF, SSIM, namely average gradient AG, information entropy En, feature mutual information FMI, mutual information MI, edge information retention qAB, weighted fusion quality evaluation factor QW, spatial frequency SF and similarity index SSIM. It can describe the result of image fusion well and has good stability.)

使用OpenCV实现特征点的查找以及两幅图像中的特征点匹配(Use the function findHomography to find the transform between matched keypoints. Use the function perspectiveTransform to map the points)

文字识别的结构特征提取子函数。对不同字型的字进行提取。(Character Recognition structural feature extraction Functions. Text of different characters extracted.)

实现图像融合的一些基本代码 实现了梯度金字塔拉普拉斯金字塔算法的图像融合 (matlab This procedure based on the implementation of the FSD pyramid image fusion algorithm, the effect was not bad, you can reference.)

matlab代码实现meanshift图像分割算法，有较好的效果(matlab code meanshift realize image segmentation algorithm has better results)

raw 数据转换成plant 的yuv 数据，已经测试通过。希望对raw数据进一步处理的同学有帮助。( Raw data is converted into YUV plant data, has been tested through. Hope that the raw data to further deal with the students to help. )

贝叶斯分类程序，用于图像的分割，二值化等，是模式识别中的一种基本分类方法。 k均值聚类，神经网络(Bayesian classification procedures for image segmentation, binarization is a basic classification in pattern recognition. k-means clustering, neural networks)

盒状滤波器，可以用来用来对图像进行滤波，对图像的预处理(Box-shaped filter can be used for image filtering, pre-processing of the image)