yuhuiweixiang

sift角点检测及匹配，在不同尺度空间下的角点检测方法，很方便实用。(sift corner detection and matching, the corner detection methods under different scales of space, it is convenient and practical.)

该m文件是用来仿真合成孔径雷达SAR的斑马图，即菱形图的，是本人自己设计的，可用。(M file is used to simulate the synthetic aperture radar SAR zebra figure, namely diamond chart, is my own design, is available.)

说明：  Vibe 运动目标检测 基于matlab(Vbie Moving Target Detection)(Vibe moving target detection based on MATLAB (vbie moving target detection))

图像检测的算法，Faster R-CNN算法，先对整张图像进行卷积计算，然后通过感兴趣区域池化层(RoI Pooling Layer)将选择性搜索算法推荐出来的候选区域和卷积网络计算出的特征映射图进行融合，得到候选区域对应的特征矢量，这种共享卷积计算的操作极大地减少了卷积计算的次数。而且这些特征矢量的维度统一，方便后续的分类工作。通过感兴趣区域池化层处理卷积特征，并将得到的特征送往两个并行计算任务进行训练，分类和定位回归。通过这些方法和改进的框架，Fast R-CNN 用更短的训练和测试时长，取得了比 R-CNN 更好的效果(Faster R-CNN algorithm first convolutes the whole image, then fuses the candidate regions recommended by the selective search algorithm and the feature mapping maps calculated by the convolution network through the RoI Pooling Layer to get the corresponding feature vectors of the candidate regions, which greatly reduces the number of convolution calculations. Moreover, the dimension of these feature vectors is unified, which facilitates the subsequent classification work. The convolution feature is processed by the pooling layer of the region of interest, and the obtained feature is sent to two parallel computing tasks for training, classification and positioning regression. Through these methods and improved framework, Fast R-CNN uses shorter training and testing time and achieves better results than R-CNN.)

针对10个手写数字的识别问题，设计了一个BP神经网络，使它能够正确识别10个数字。(Against the 10 handwritten numeral recognition problem, a BP neural network is designed so that it can correctly identify the 10 digits.)

1.模式匹配：子串在主串中的定位，也叫字符串匹配。模式匹配成功是指在主串S中能够找到模式串T，否则，称模式串T在主串S中不存在。 2.模式匹配的应用在非常广泛。例如，在文本编辑程序中，我们经常要查找某一特定单词在文本中出现的位置。 3.模式匹配算法的研究能极大地提高文本编辑程序的响应性能。 (1 pattern matching: substring positioned in the main string, also called string matching. Pattern matching refers success can be found in the main string S pattern string T, otherwise known as pattern string T does not exist in the main string S. 2 pattern matching in a very wide range. For example, in a text-editing program, we often have to find the location of a particular word appears in the text. 3 study of pattern matching algorithms can greatly improve the response performance of text editing program.)

为了提高数字图像中椭圆检测的效率和准确性,提出了一个基于最小二乘法的改进的随机椭圆检测算法. 该算法随机选取图像中的3 个边缘点,在以这3 个点为中心的窗口内,从边缘点中拟合出可能椭圆,并通过随机选 取的第4 个边缘点来确认可能椭圆. 利用直接最小二乘法椭圆拟合的特性,引入可能椭圆边缘点收集和椭圆重新 拟合的迭代过程来提取最终的椭圆参数. 通过对含有不同噪声的仿真图片和包括残缺椭圆的实际图片的实验表 明,新算法的改进是有效的. 与原算法相比,新算法降低了对参数的依赖性,提高了检测的速度、稳定性和准确性, 同时保留了原算法的抗噪声能力.(: An imp roved randomized ellip se detection algorit hm based on least square approach was proposed to enhance t he efficiency and accuracy of ellip se detection in digital images. This algorit hm randomly se2 lect s three edge point s in t he image , and t hen uses least square approach to fit all t he edge point s in three windows , which are defined by t he t hree edge point s. The forth edge point is randomly selected to judge whet her a possible ellip se exist s in t he image. Utilizing the characteristic of direct least square fit ting of ellip se , an iteration process of edge point collecting and ellip se refit ting of possible ellip se was int roduced to ext ract t he final ellip se’s parameters. Artificial images wit h different level s of noise and nature images containing incomplete ellip ses were employed to test t his algorithm. Experimental result s show that t he improvement s are notable. Compared with the original algorit hm , t he propo sed algorit hm reduces)

说明：  模式识别与图像处理，图像的边缘处理，增强(Pattern recognition and image processing, image edge processing, to enhance)

说明：  一个机载SAR的成像算法，SAR的点目标RD成像算法(An airborne SAR imaging algorithm, SAR point target imaging algorithm RD)

本代码主要应用于图像压缩，代码包括采用二维离散余弦变换（DCT）进行图像压缩、采用小波变换进行图像压缩以及基于小波变换与混沌排序图像加密压缩、解密重构 hundungen 是ex3的子程序：产生混沌序列(This code is mainly used in image compression, including the use of code dimensional discrete cosine transform (DCT) for image compression, image compression using wavelet transform and wavelet transform compression and chaotic image encryption based sorting, decryption reconstruction)