kzcl

说明：  使用matlab实现脑磁共振图像的海马体分割(Using MATLAB to segment the hippocampus of brain MR images)

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.)

图像数字水印的方案毕业论文MATLAB和典型的混沌系统(Image Digital Watermarking thesis MATLAB programs and typical chaotic systems)

CRF（条件随机场）的程序包，用于图像分析（恢复，分割），对图像进行建模(CRF (with the conditions of the airport) package for image analysis (restoration, segmentation), the image modeling)

來自於2012年IEEE TIP的論文 Efficient Contrast Enhancement Using Adaptive Gamma Correction With Weighting Distribution ，其功能為透過分析影像中的直方圖統計資訊，達到快速增強影像對比的結果。(From the 2012 IEEE TIP paper "Efficient Contrast Enhancement Using Adaptive Gamma Correction With Weighting Distribution"which functions as a histogram of the image by analyzing statistical information, to quickly enhance image contrast.)

利用稀疏表示进行图像去噪时，需要生成两种学习字典，该源码比较了生成的两种字典的优劣(Denoising sparse representation, it is necessary to generate two learning dictionary, which compares the generated source code of the merits of two dictionary)

给予matlab的图像分割例程，内附相关图片及程序。(Image segmentation routine MATLAB, containing the relevant pictures and program. )

此算法为基于k-means聚类的非局部均值快速去噪算法，方法便捷有效，可保持边缘信息(this is a fast edge-preserving denoising method based on non-local means method with k-means clustering)

说明：  提取图像的hu矩 使用matlab编写 相当稳定 计算速度较快(image hu moment steadily run fast very good worth trying)

说明：  此算法可以实现任意两个图像的配准（整体平移） (This algorithm can achieve any two image registration (the overall translation))