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说明：  本压缩包主要包括数字图像处理——使用MATLAB分析与实现的源代码(This compression package mainly includes digital image processing - using MATLAB analysis and implementation of the source code)

SIFT KD树 图像拼接 全景图_多幅图 opencv (SIFT KD tree image mosaic panorama _ Multiple Figure opencv)

两个l1准则下的噪声干扰信号压缩感知重构举例，两个例子的稀疏矩阵均为DCT矩阵，而观测矩阵分别采用单位阵和随机矩阵，有详细的步骤和使用方法，适用于初步的学习压缩感知方法。(This programme supply two examples by Compressed sensing with l1 norm. The sparse matrix of two examples are all DCT matrix and the obsever matrix are unit matrix and random matrix respectively. We give the detailed usage and steps for the programme which is useful to the beginner.)

改进的剪切波变换，用于图像处理，分解层数多，运行速度快(Improved shear wave transform for image processing, decomposition of many layers, fast running speed)

实现论文 Active Contours without Edges 中提出的CV活动轮廓模型，用于分割图像。(To achieve paper Active Contours without Edges, in the CV active contour model for image segmentation.)

用霍夫曼编码，零树小波算法解码，图像处理过程(huffman encode ，ezw decode)

MODIS图像批量镶嵌拼接方法（IDL/ENVI）(modis mosaic)

SIFT特征是图像的局部特征，其对旋转、尺度缩放、亮度变化保持不变性，对视角变化、仿射变换、噪声也保持一定程度的稳定性，亲身检测可用(SIFT feature is a local feature of image. It keeps invariant to rotation, scaling, brightness change, and also keeps a certain degree of stability to view angle change, affine transformation and noise.)

给定的n个点在二维平面上,发现的最大数量点躺在同一直线。(Given n points on a 2D plane, find the maximum number of points that lie on the same straight line. )

应用灰度共生矩阵求解纹理特征并用熵，相关性，惯性矩，能量，局部平衡等参数带有实例照片可以直接编译(Applying the grayscale symbiotic matrix to solve the texture features and using entropy, correlation, inertia moment, energy, local equilibrium and other parameters with example photos can be compiled directly.)