fenjiechonggou

说明：  吴恩达第五周作业。学习算法分两部分进行理解，第一部分是根据code对算法进行综述，第二部分是代码(The learning algorithm is divided into two parts, the first part is to summarize the algorithm according to the code, the second part is the code)

以“宽幅盖面阵立体测绘小相机”项目为课题背景,深入的研究了高速图像传输,图 像实时压缩和压缩图像数据的实时存储问题 ATA,fpga("Wide Coverage RUF small, three-dimensional mapping camera," project subject to the background and in-depth study of the high-speed image transmission, Image compression and real-time compression of real-time image data storage problems ATA, fpga)

说明：  自己写的fft的应用实例，包括对一维振动信号分析，对二维图像频谱分析。(The application examples of FFT written by myself include one-dimensional vibration signal analysis and two-dimensional image spectrum analysis.)

Image_processing in C

BMP,ICO,JPG等图片格式转换，按照例子可以任意格式转换(BMP, ICO, JPG and other image format conversion, according to examples can be converted to any format.)

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.)

IMM算法，用于机动目标的精确跟踪和定位，该模型集考虑了三种典型子模型:CV,CT,CA. (interacting multiple model (IMM) code for target tracking )

这是一个简单的区域生长算法，方便新手学习使用。(this is a simple region growing algorithm available for new learners.)

本算法在Matlab2008b 环境下实现。包括main,san 和ssd 三个函数。 这次实现的算法并不是比较两个已经知道的点是否匹配，而是已知一个图形中的特征点，在另外一个图像中找到与其最匹配的点，匹配度用SAD 或者SSD 来度量。 main.m 是程序的入口，包括生成和读入实验数据，调用sad 函数和ssd 函数求匹配点，最后绘 制出最后的结果。sad.m 是用sad 度量方法在另一图中求解匹配点的函数实现，有3 个参数 y=sad(x,image1,image2)。其中x 是代匹配的数据，image1 是图像1 数据，image2 是图像2 数据。 从理论上分析，ssd 比sad 算法要复杂一点，经过测试，在一幅640*480 的图像中寻找10 个匹配点数据SAD 用时25.062519 秒，SSD 用时25.291432 秒。(The algorithm Matlab2008b environment to achieve. Including the main, san, and ssd three functions. The implementation of the algorithm is not the point of comparing two matches already know, but the known feature points in a graphic, an image found in the other match with the most points, matching measured with the SAD or SSD. main.m is the entry, including the generation and reading test data, call the sad ssd function evaluation functions and matching points, and finally draw the final result. sad.m measure is sad figure in another match point in the function implementation to solve, there are three parameters y = sad (x, image1, image2). Where x is the generation of matching data, image1 is the data image 1, image2 is the image 2 data. From the theoretical analysis, ssd little more complicated than the sad algorithm, tested in a 640* 480 images of 10 match points in the search for data using time 25.062519 seconds SAD, SSD with time 25.291432 seconds. )

说明：  基于matlab的简易小波阈值去噪，小波变换基础上变换阈值实现对图像的去噪(Matlab based on the simple wavelet transform, simple image denoising)