qulv

矩不变量，适用于图像匹配，数字水印，图像重建(Moment invariants, applicable to the image matching, digital watermarking, image reconstruction)

数字水印处理，嵌入、提取、认证，可以在图形，视频和文本中添加数字水印，增强文档的保密，防止泄密(Digital watermarking processing, embedding, extraction, authentication, can be in graphics, video and digital watermarking to add text to enhance the confidentiality of documents to prevent leak)

IMAGING 工业相机图像灰度特征处理源代码，文件源码中集成了三方组件，非常有价值(IMAGING industrial camera image grayscale image processing source code, the source code to integrate the three party components, very valuable)

说明：  利用BP神经网络进行图像分割。主要适用于RGB信息丰富的图像。以RGB为BP网络的三个输入，与对应的灰度图对网络进行训练。(The use of BP neural network image segmentation. RGB is mainly applied to information-rich images. BP network to RGB for the three inputs, with grayscale corresponds to the network training.)

SIFT，即尺度不变特征变换（Scale-invariant feature transform，SIFT），是用于图像处理领域的一种描述。这种描述具有尺度不变性，可在图像中检测出关键点，是一种局部特征描述子。[1] 该方法于1999年由David Lowe[2] 首先发表于计算机视觉国际会议（International Conference on Computer Vision，ICCV），2004年再次经David Lowe整理完善后发表于International journal of computer vision（IJCV）。截止2014年8月，该论文单篇被引次数达25000余次。(SIFT, namely Scale Invariant Feature Transform (Scale-invariant feature transform, SIFT), it is a description for image processing. This description has scale invariance, can detect critical point in the image, it is a local feature descriptor. [1] The method in 1999 by David Lowe [2] First published in the International Conference on Computer Vision (International Conference on Computer Vision, ICCV), 2004 was again perfect finishing after David Lowe published in the International journal of computer vision (IJCV) . As of August 2014, the paper cited the number of times a single article of more than 25,000 times.)

marburg.c 用Burg算法求AR模型的参数。 mar1psd.c 由AR模型参数得到功率谱。 maryuwa.c 用Levinson算法求解Yule-Walker方程以得到 阶AR模型的参数 。 (marburg.c using Burg algorithm for AR model parameters. mar1psd.c by the AR model parameters obtained power spectrum. Levinson algorithm maryuwa.c with Yule-Walker equation in order to get rank AR model parameters.)

用matlab编写的harris角点检测与匹配程序，适用于matlab图像处理与编程(Matlab prepared with harris corner detection and matching procedures, applicable to matlab image processing and programming)

一个简短的计算图像信息熵的程序，对于初学IDL的开发者来说，有一定的借鉴作用(A brief image information entropy calculation procedure, IDL for beginner developers who have a certain reference)

说明：  适用于SIFT检测缺陷，检测方法还行，可以调试调试就使用了(Template matching defect detection)

道路提取，设置初始的点，输入图像，snake 模型(Road extraction, set the initial point, input image, snake model)