matlab

传统的HSV空间颜色特征提取算法，量化为8H3S3V.(HSV color space for the traditional feature extraction algorithm, to quantify 8H3S3V.)

基于灰度和matlab编写的图像匹配源代码，运行效果不错(Prepared based on the gray and the image matching matlab source code, run the effect of good)

图片的旋转、截图、灰度、翻转、滤波、去噪等基本处理(Image rotation, screenshots, gray, flip, filtering, noise and other basic processing)

主要是关于模糊熵的，里面还和灰色关联度有点联系。搞图像的应该可以看的懂的。(Mainly on fuzzy entropy, which has little contact and the gray. Should be able to read out the image of understand.)

数字图像处理图像复原算法源代码（维纳滤波，最小二乘方法，L-R算法）(Digital image processing, image restoration algorithm source code (Wiener filtering, least squares method, the LR algorithm))

Isoperimetric Graph Partitioning for Image Segmentation

基于高阶互信息的医学图像配准算法 基于高阶互信息的医学图像配准算法代码(High-level mutual information based medical image registration algorithm based on mutual information of high-end medical image registration algorithm code)

Zhang等人 利用相位一致性信息的特性，提出了 特征相似性方法(FSIMG) ，选取了相位一致性信息和梯度信息 作为它的两个特征，得到了较好的结果。 (A novel feature similarity (FSIM) index for full reference IQA is proposed based on the fact that human visual system (HVS) understands an image mainly according to its low-level features. Specifically, the phase congruency (PC), which is a dimensionless measure of the significance of a local structure, is used as the primary feature in FSIM. Considering that PC is contrast invariant while the contrast information does affect HVS’ perception of image quality, the image gradient magnitude (GM) is employed as the secondary feature in FSIM. PC and GM play complementary roles in characterizing the image local quality. After obtaining the local quality map, we use PC again as a weighting function to derive a single quality score. Extensive experiments performed on six benchmark IQA s demonstrate that FSIM can achieve much higher consistency with the subjective uations than state-of-the-art IQA metrics.)

图像边缘检测,运用各种算子,压缩包中保存了各种算子算法后的效果图(MATLAB Image corrosion expansion, not the kind of statement directly)

matlab代码实现meanshift图像分割算法，有较好的效果(matlab code meanshift realize image segmentation algorithm has better results)