image-fusion

图像 自动 标注 通过分析 训练集 ，学习 图像 和标注词 之间的关系，得出 之间的关系，得出 一些规则， 然后使用这些规则 自动 推导出 图像 最适合的标注词 ，这些标注词代表了图像的 ，这些标注词代表了图像的 高层 语义信息 。(Automatic image annotation by analyzing the training set, learning image and mark the relationship between words, the relationship between the draw, draw some rules, and then use these rules to automatically derive the most suitable image annotation words, these words represent the image annotation , these words represent the image annotation level semantic information.)

采用分水岭算法对图像进行分割。直接对图像进行分水岭算法，效果并不理想。本方法使用形态学重建技术对前景对象进行标记，求局部极大值，最终将分割好的图像进行伪彩色显示，让结果更加明显。适用于较复杂的图像分割处理。(Using watershed algorithm for image segmentation. Watershed algorithm for image directly, the effect is not ideal. This method uses morphological reconstruction technique foreground object is marked, find local maxima, eventually dividing good pseudo-color image display, make the results more apparent. Applicable to more complex image segmentation processing.)

这是文章Nonlocally Centralized Sparse Representation for SR的代码(this is the code of Nonlocally Centralized Sparse Representation for SR)

应用harris算子进行角点检测，然后利用相关性检测得到匹配焦点，然后进行图像的重采样，适于对于彩色图像的处理，对于灰度图像，只要将harris算子检测时的图像从彩色道灰度图像的语句去掉即可(Application of operator harris corner detection, and then make use of relevant test match to be the focus, and then carried out resampling images, suitable for color image processing, for gray-scale images, as long as the operator will harris Detect when the image from color Road gray-scale images can be removed from the statement)

说明：  图形图像出来库文件，挺好用的，直接包含进工程就可以用了 (Graphic images from the library files, good used directly included into the project can be used)

双目视觉经验总结，希望后面的不要犯错误。(Binocular visual experience summary, make no mistake behind.)

说明：  sar成像算法：RD、CS算法，希望对需要的人有用(sar imaging algorithm: RD, CS algorithm, and they hope to those who need it useful)

运用susan算法进行角点检测，并在图中显示出来(Application susan corner detection algorithm and displayed in the drawing)

根据图像四个方向的共发矩阵，求取四个灰度共发矩阵的熵，求熵的均值生成特征矩阵，通过聚类分析实现图像的纹理分割。(In accordance with the direction of a total of four images fat matrix, to strike a total of four gray hair matrix entropy, and entropy generation characteristics of the mean matrix, through cluster analysis of the realization of image texture segmentation.)

bode图，可以实现如何绘制bode图的过程和详细步骤。(Bode figure, can realize how to draw the process and detailed bode figure steps )