图片裁剪

基于正则化项的最大后验概率重建的一段程序，简单易懂(Based on regularization item maximum a posteriori probability reconstruction of a program, simple and understandable )

图像阈值分割，基于matlab的二维Renyi熵算法的灰度图像分割(Image threshold segmentation, matlab based two- dimensional Renyi entropy algorithm gray- scale image segmentation)

主要在对图片加入不同噪声时进行图像复原程序。(Mainly in the picture by adding different noise when the image recovery process.)

图像处理中边缘提取几种方法的matlab代码(many edge extraction codes about image processing)

理解频域处理与空间域处理的等效关系与步骤，掌握频域相乘与空间域循环卷积之间的对等关系，理解DFT运算中补零的效果。(Understand the equivalent relationship and steps of frequency domain processing and space domain processing, understand the reciprocal relationship between frequency domain multiplication and space domain circular convolution, and understand the effect of zero padding in DFT operation.)

这是一个应用VC++编写的基于摄像头读取人脸的人脸识别和人脸检测软件，其中引用了MATLAB的系统函数，是一个非常不错的人脸识别软件，这个系统在我校论文答辩审核中获得了优秀的成绩。希望对大家有用(This is an application-based VC prepared to read camera Face to Face Recognition and face detection software. cited in the MATLAB system function, is a very good face recognition software. The system in my school examination papers reply obtained outstanding achievements. We hope to useful)

图像增强，包括图像的平滑、锐化、边缘识别等操作(Image enhancement, including image smoothing, sharpening, edge detection and other operations)

对图像进行各种处理，比如形态学方法、图像压缩与编码等等(A variety of image processing, such as morphology, image compression and coding, etc.)

拉普拉斯变换是工程数学中常用的一种积分变换，又名拉氏转换。拉氏变换是一个线性变换，可将一个有引数实数t（t≥ 0）的函数转换为一个引数为复数s的函数。(Laplace transform is a commonly used engineering mathematics integral transformation, also known as Laplace Transform. Laplace transform is a linear transform, argument can be a real number t (t ≥ 0) is converted to a function of a complex number s argument of the function.)

一种基于稀疏表示的图像融合方法，基于论文《Information Fusion》论文Joint patch clustering-based dictionary learning for multimodal image fusion 进行编写 结果相似(A sparse based image fusion method. It is based on paper Joint patch clustering-based dictionary learning for multimodal image fusion of Information Fusion The results is almost the same to this paper)