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gabor特征提取程序，对于搞问纹理提取的人来说很有用处(gabor feature extraction process, engage in asking for the texture extraction is very useful for those who)

对l1最小化的处理，其中包括全面的l1范数的解得算法，运用tv全变分最小的解决方法，适合于单像素以及图像处理的研究者参考。(L1 minimization, including the full L1 norm solution algorithm, the use of TV total variation, the smallest solution, suitable for single pixel and image processing researchers reference.)

说明：  这是一个图像配准的MATLAB代码，有很好的GUI界面，以像素级进行配准。(The image matching MATLAB code is based on pixel with a good GHI.)

双目立体视觉，基于matlab，适合新手看看，比较简单(Stereoscopic vision, based on matlab, suitable for novice to see)

Computer Vision:Algorithms and Applications，Richard Szeliski，适合图像处理人群(Computer Vision: Algorithms and Applications, Richard Szeliski, suitable for image processing crowd)

能够对采集到的连续信号进行傅里叶变换，以进行后续处理(It can carry out Fourier transform to collect continuous signals for subsequent processing.)

radon 的逆变换,可以实现图像重建，前提是前面的投影用radon变换来做(iradon)

说明：  通过生成秘钥得到一串具有一定长度的扩频码，将原始消息序列以扩频码的长度过采样产生过采样消息序列，并将扩频码以原始消息序列的长度多次重复成伪随机序列，再令过采样消息序列与伪随机序列异或就可以生成扩频消息序列。在频率域下，将扩频消息序列以一定的嵌入强度自适应地嵌入原始图像，得到的图像具有较强的鲁棒性，比起直接嵌入，扩频水印在受到攻击后恢复出的水印信息误码率要低得多。并且扩频码长度越长，容错率就越高，鲁棒性就越好。(A sequence of spread spectrum codes with a certain length is obtained by generating a secret key. The oversampling message sequence is generated by oversampling the original message sequence with the length of the spread spectrum code, and the spread spectrum code is repeated into a pseudo-random sequence with the length of the original message sequence for many times, and then the spread spectrum message sequence can be generated by making the difference between the oversampling message sequence and the pseudo-random sequence. In the frequency domain, the spread spectrum message sequence is adaptively embedded into the original image with a certain embedding strength, and the resulting image has strong robustness. Compared with direct embedding, the error rate of the watermark information recovered from the attack of spread spectrum watermark is much lower. And the longer the spreading code length, the higher the fault tolerance rate and the better the robustness.)

说明：  在计算机视觉中，图像分割是将图像分成多个片段的过程。这使我们能够通过以比原始图像更简单的表示方式来更好地分析图像。一种用于分割图像的方法是阈值分割；也就是说，将强度值低于阈值的所有像素设置为背景值，而将高于阈值的其他像素设置为前景值。最简单的阈值处理形式是对所有像素使用全局阈值，而自适应阈值处理根据像素及其周围环境动态改变阈值。典型地，阈值处理从灰度图像开始，并输出二进制图像以清晰地描绘图像中的片段。在本实验中，我们开发了一种自适应阈值算法，并将其与更简单的算法进行了比较。 此外，我们还开发了逆运动学证明来将机械臂移动到给定的x，y，z坐标。这一证明涉及三种命名身份，并获得了对机械臂设计的更好理解。(Image threshold segmentation)

利用jpda算法进行目标的跟踪仿真，给定目标的起始位置和运动速度，自动添加杂波，输出定位后结果(To utilize jpda algorithm for target tracking simulation, to the starting position and velocity of the target, and automatically add clutter, output positioning result)