SAMP

说明：  生成显著图方法，一种基于空间频域分析的显著性分析算法（Spectral Residual，SR算法）的matlab实现代码(Matlab code generated saliency map method based on the spatial frequency domain analysis of significant analysis algorithm (Spectral Residual, SR algorithm))

联合特征选择和子空间相关性学习的跨模态检索，map优于典型相关性分析的跨模态检索(Joint Feature Selection and Subspace Learning for Cross-Modal Retrieval)

对图像进行平滑去噪，提高图像的质量，为后期的图像处理打基础(very good)

特征提取是图像配准的重要步骤，使用Harris角点检测算法实现图像拼接。(Feature extraction is an important step in image registration, using Harris corner detection algorithm for image mosaic.)

质心点求取，目标进行形跟踪，跟跟踪物体。希望高手指点(Centroid strike, shaped track)

一些图像处理中的增强算法，一些些一些些一些些(Some of the enhanced image processing algorithms, some more some more)

使用cnn + svm的分类，结果运行不错(Using CNN + SVM classification, the result runs pretty well.)

Tracking based on background subtraction

自适应的直方图均衡化程序（AHE），用于图像增强(Adaptive histogram equalization program)

一种新的基于snake模型的水平集图像分割方法：用matlab编程实现，可进行灰度图像的分割，里面有演示实例，便于学习。(A new snake model based on the level set image segmentation methods: using matlab programming implementation, can be gray-scale image segmentation, there are demonstration examples for study.)