PCA

利用灰度图 建共生矩阵 利用特征值 对纹理图像分割(The use of grayscale co-occurrence matrix to build the use of characteristic values of the texture map would like to partition)

ebook on Jtag and boundary scan

一种求解电大平台天线互耦的时域积分方程快速算法(Solving the Antenna TV platform stie fast algorithm)

图像频率域滤波程序，课程设计作业，获优秀，完全自主开发，包含搞通滤波、低通滤波、带通滤波以及方向滤波。含ＧＵＩ(image frequency domain filtering procedures, curriculum design work, outstanding, fully self-development, including engaging pass filtering, low-pass filtering, band-pass filtering and filtering direction.- GUI)

本程序用于CurveLab-2.0水印技术的处理．(the procedures for CurveLab-2.0 watermarking technology management.)

涉及功能点:移动选区 调整大小 放大镜 通知观察者 热键

实现图像颜色识别分块实现图像颜色识别分块(Block of image color recognition)

说明：  光谱分析中的聚类方法和判别方法,包括： 系统聚类、K均值聚类、距离判别、SIMCA法、kNN法等。(Spectroscopy clustering method and discriminant)

实现手机拍摄图像的二维码图像的提取，包括QR码的旋转与校正，也可以用于其他条码，但是效果不是很好(The realization of mobile dimensional code image captured image extraction, rotation and including a QR code correction can also be used for other bar code, but the effect is not very good)

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.)