读TIFF

SIFT，即尺度不变特征变换（Scale-invariant feature transform，SIFT），是用于图像处理领域的一种描述。这种描述具有尺度不变性，可在图像中检测出关键点，是一种局部特征描述子。[1] 该方法于1999年由David Lowe[2] 首先发表于计算机视觉国际会议（International Conference on Computer Vision，ICCV），2004年再次经David Lowe整理完善后发表于International journal of computer vision（IJCV）。截止2014年8月，该论文单篇被引次数达25000余次。(SIFT, namely Scale Invariant Feature Transform (Scale-invariant feature transform, SIFT), it is a description for image processing. This description has scale invariance, can detect critical point in the image, it is a local feature descriptor. [1] The method in 1999 by David Lowe [2] First published in the International Conference on Computer Vision (International Conference on Computer Vision, ICCV), 2004 was again perfect finishing after David Lowe published in the International journal of computer vision (IJCV) . As of August 2014, the paper cited the number of times a single article of more than 25,000 times.)

常见的图像处理matlab源代码，包括梯度锐化、图像镜像、图像平移、图像缩放、图像细化、图像旋转、维纳滤波处理、用Canny算子提取边缘、阈值变换、直方图均衡、中值滤波。(Matlab Source Code about Image Processing)

卷积神经网络（Convolutional Neural Network）是一个专门针对图像识别问题设计的神经网络。它模仿人类识别图像的多层过程：瞳孔摄入像素；大脑皮层某些细胞初步处理，发现形状边缘、方向；抽象判定形状（如圆形、方形）；进一步抽象判定（如判断物体是气球）。(Convolutional neural network is a neural network specially designed for image recognition. It imitates the multi-layer process of human recognition image: pupil ingestion of pixels; some cells in the cerebral cortex preliminary processing to find shape edges and directions; Abstract judgment of shape (such as circles and squares); and further Abstract judgment (such as judging objects are balloons).)

近两年关于图像检索的重要参考文献，包括IEEE和国内CNKI上发表的顶级期刊(Image Retrieval over the past two years on the importance of references, including the IEEE and domestic CNKI top journals published)

说明：  在地震处理中，非常经典的进行时深转换的程序，通常比较好用(In seismic processing, the very classic procedure for time-depth conversion, usually more useful)

hough和randon函数求图像中圆，对于水中气泡检测效果很不错(Circle detection based on random Hough transform)

说明：  本程序利用python程序对hdf文件进行处理，转换格式。(This procedure USES python program to process THE HDF file, convert the format)

Fast_and_Robust_Multi-Frame_Super-Resolution这篇文章的算法实现。内含BTV算法和改进的btv算法实现超分辨率重建。(This article Fast_and_Robust_Multi-Frame_Super-Resolution algorithm. Containing BTV algorithm and improved the btv algorithm to achieve super-resolution reconstruction.)

说明：  利用模糊神经网络的方法实现遥感图像的目标识别(The use of fuzzy neural network approach to achieve the goal of remote sensing images to identify)

本实验要求编写一个计算压缩-解压缩图像的均方根误差、均方信噪比的程序。该程序是一个通用程序。编写程序产生图示的结果。使用上面的保真度准则程序计算可视信息的损失特性。(Prepared in this experiment, a calculation of compression- decompression of the root-mean-square error of image, mean square signal to noise ratio of the procedure. The procedure is a common procedure. Picture shows the preparation of the results of procedures. The use of the above criteria for the fidelity of calculated loss characteristics of visual information.)