matlab-code-based-image-retrieval

说明：  自组织神经网络SOM的算法，经过调试可以用(Self-organizing neural network SOM algorithm can be used after debugging)

基因演算法, ~和吃飼料的演算法, e面的 ~吃到飼料會越來越快,(The genetic algorithm, the algorithm for eating feed, the e-plane algorithm for eating feed is getting faster and faster.)

多种不同的图像滤波Matlab源码，包括威纳滤波、小波滤波、贝叶斯滤波、LEE滤波、frost滤波、kuan滤波等。(A variety of different image filter Matlab source, including wei, filter, wavelet filter, bayesian filtering, LEE filtering, frost filtering, kuan filtering, etc. )

说明：  最二小乘影像匹配，精度可以达到0.01个像素，也可以最二小乘影像模板匹配。经过修改后可以直接用，只要调用一个函数就搞定，函数参数的说明很清楚，绝对不会有任何困难，非常好用。(Most two Theravada image matching accuracy can reach 0.01 pixel images can also be the most two Theravada template matching. After modifications can be directly used, as long as is you call a function, function parameters, the description is clear and will not have any difficulties, very easy to use.)

数字图像处理中的平滑和锐化（边缘检测）。包括1、添加椒盐、高斯噪声。2对噪声污染的图像分别使用邻域平均法、中值滤波法、K邻近平均法进行平滑。3对一幅图像利用Roberts梯度法、Sobel算子和拉普拉斯算子进行锐化，并比较结果。附处理源图像和处理结果截图。 (Digital image processing smoothing and sharpening (edge detection). Including 1, add salt and pepper, Gaussian noise. Two pairs of images were used noise pollution neighborhood average, median filtering, K close to the average method to smooth. 3 on an image using Roberts gradient method, Sobel operator and Laplacian sharpening, and compare the results. Laws dealing with the source image capture and processing results.)

稀疏自适应匹配追踪算法，无需稀疏度，就可以重构原始信号。(Sparse adaptive matching pursuit algorithm, without sparsity, we can reconstruct the original signal.)

说明：  灰度图像的边缘检测，包含多种算子：sobel,prewitt,gaosi算子等，包括原理和各算子的区别(Edge detection of gray image includes many operators: Sobel, Prewitt, Gaosi, etc)

介绍CEGUI中所给的例子的的文档，很详细.(Introduce the samples in the CECUI,very detailed!)

说明：  对图像噪声进行滤除，从而方便合成孔径雷达干涉图数据处理的后续步骤，包括相位解缠以及生成dem数据。(Image noise filtering)

使用Gabor滤波器进行滤波后的差分矩阵实现遥感图像云检测(Gabor filter is used to filter the differential matrix for remote sensing image cloud detection)