1.6 尺度不变特征提取

Laws纹理策度是用来进行纹理分割的程序,这种方法很有用.(Laws degree texture strategy are used for texture segmentation procedure, this method useful.)

角谱法在衍射光场计算中的应用，还有一些其他方法(Calculation of diffraction light field by angular spectrum method)

使用Bregman算法做MRI图像压缩感知(MRI using the Bregman algorithm to do image compression-aware)

多图片上交过程,程序的主要功能就是图片上传。可以一次上传多个文件。速度也相当的快哦。 (hand in the picture)

phog算法的matlab实现，hog特征用于对象识别，比如人脸识别、人体识别。(phog algorithm matlab achieve, hog characteristics for object recognition, such as face recognition, human identification.)

检测空间中直线是否相交（动态）(detect whether linear space intersect (dynamic))

基于Gabor 变换的地震反褶积正反变换程序，以及和维纳反褶积的对比程序 (Gabor transform based on seismic deconvolution forward and reverse transform procedures, and the Wiener deconvolution of the comparison program)

说明：  能够按照特定轨迹移动并且变换颜色的长方体(Able to move the color of the rectangular transform)

说明：  这篇论文提出了一种较好的水下图像增强的方法。首先使用经过端到端训练的卷积神经网络去测量输入图片，同时以自适应双边滤波器对传输图片进行处理。接着提出一种基于白平衡的策略来消除图片的颜色偏差，用拉普拉斯金字塔融合获得无雾和色彩校正图像的融合结果。 最后，输出图像被转换为混合小波和方向滤波器组（HWD）域，用于去噪和边缘增强。 实验结果表明，该方法可以消除颜色失真，提高水下图像的清晰度。(This paper proposes a better underwater image enhancement method. Firstly, an end-to-end training convolutional neural network is used to measure the input image, and an adaptive bilateral filter is used to process the transmitted image. Then a strategy based on white balance is proposed to eliminate the color deviation of images. The fusion results of fog-free and color correction images are obtained by Laplacian pyramid fusion. Finally, the output image is converted into hybrid wavelet and directional filter bank (HWD) domain for denoising and edge enhancement. The experimental results show that the method can eliminate color distortion and improve the clarity of underwater images.)

说明：  可用于简单图像的处理及几何特征提取，可得到1. 长宽比 2. 矩形度 3. 圆形度 4. 面积凹凸比 5. 周长凹凸比 6. 球形度 7. 偏心率 8. 形状参数(It can be used to process simple images and extract geometric features. It can obtain 1. aspect ratio 2. rectangularity 3. roundness 4. area concave-convex ratio 5. circumference concave-convex ratio 6. sphericity 7. eccentricity 8. shape parameters.)