matlab RAW格式 读取显示

说明：  利用稀疏矩阵思想进行图像的超分辨率重建，效果较好。(Thinking of using sparse matrix for image super-resolution reconstruction, the effect is better.)

分别采用RGB模型和HIS模型对图像imageLane.bmp进行锐化，并比较锐化的效果是否相同（两锐化后的图像相减）。(RGB model and HIS respectively model imageLane.bmp sharpening the image and to compare the effect of sharpening is the same ( sharpen the image after the subtraction).)

西安科技大学，图像处理教程的课件，做成了PDF格式，希望对你们有用(Xi' an University of Technology, image processing tutorial courseware, made the PDF format, hope that is helpful for you)

多聚焦图像融合是将多幅成像条件相同而且关于同一场景的不同聚焦部位图像，融合成一幅各处都清晰的图像。编写多聚焦图像融合算法程序，实现图像融合。(Multi-focus image fusion is to be pieces of the same imaging conditions and different focus parts of the image on the same scene, fused into one everywhere a clear image. Preparation of multi-focus image fusion algorithm program to achieve fusion.)

说明：  基于Robert算子、Sobel算子、Prewitt算子、Log算子、Canny算子的边缘检测代码(Edge detection code based on Robert operator, Sobel operator, Prewitt operator, LOG operator and Canny operator)

编制一个通用的边缘提取函数。通过输入不同的参数，能够实现Sobel算子、Prewitt算子、Roberts算子、Marr算子和Canny边缘检测。 实验图像任选 (Preparation of a common edge extraction function. By entering different parameters to achieve the Sobel operator, Prewitt operator, Roberts, operator, operator of Marr and Canny edge detection. Experimental image optional)

说明：  本文以k-means算法为背景，引入信息熵相关知识，从而实现全自动分割图像。然而在利用混合高斯模型对图像进行数据分析时，会发生一定的过拟合现象，导致我们得不到预期的聚类数目。本文设计合理的合并准则，令模型简化，有效地消除过拟合现象，使得最后得到的聚类数目与预期符合。，设计合理的准则改进了图像的全自动分割方法，使得分割结果更加优化(In this paper, k-means algorithm is used as the background, and information entropy related knowledge is introduced to realize full-automatic image segmentation. However, when the Gaussian mixture model is used to analyze the image data, there will be some over-fitting phenomenon, resulting in that we cannot get the expected number of clusters. In this paper, a reasonable merging criterion is designed to simplify the model and effectively eliminate the over-fitting phenomenon, so that the final clustering number is in line with the expectation. A reasonable criterion is designed to improve the automatic image segmentation method and make the segmentation result more optimized.)

图像分割matlab代码，区域生长，效果很好(Image segmentation matlab code, region growing)

说明：  区域生长法的图像分割方法，效果分厂不错，值得借鉴！(Region growing image segmentation method, the effect of a good factory, worth learning!)

暑期实习用matlab编写的一个人脸马赛克图像处理处理算法，附件同时包含了算法的原理解释(face mosaic image processing by matlab. )