chapter11

利用模糊c—均值聚类方法将data 数据向量；3表示分成三类；center表示分类中心(Using fuzzy c-means clustering method to the data vector data 3 that is divided into three categories center said the classification center)

图像的平面微分平方和能够反映图像高频分 量的能量。用计算平面微分平方和的方法在空间域上计算相邻像素亮度差值的平方和，对应于在频率域上计算图像高频分量的能量和，此值越大，图像对焦越准确(Differential square image plane and the image can reflect the energy of high frequency. Computational method of Planar Differential squares calculated in the space domain to the square of the difference between the brightness of adjacent pixels and corresponds to the image in the frequency domain calculation of high frequency energy and, this value is larger, the more accurate the image focus)

说明：  2011国际表面检测高峰会议ISIS在德国召开。此份文件为此次会议发表的论文。探讨了工业表面检测前沿科技和应用（主要是工业图像检测技术），以及发展趋势(2011 ISIS International Surface Inspection Summit held in Germany. This document is the conference papers. Detected on the surface of the cutting-edge technology and industrial applications (mainly industrial image detection technology), and trends)

This simulation file is in matlab software and is about the pwm closed loop chopper.

Matlab code: detect straight lines using hough algorithm

一个动态储备设计问题，需要用matlab的MDP工具箱进行求解。(a dynamic reserve design problem)

说明：  分数阶滤波，FRFT自适应滤波，以及其实例。 附有相对应的数据可用给的程序做处理。(Fractional order filtering, FRFT adaptive filtering, and its example. The corresponding data are attached, which can be processed by the program.)

Matlab6.0图形图像处理函数。pdf。非源码Matlab6.0 graphics and image processing functions. pdf. Non-source(Matlab6.0 graphics and image processing functions. pdf. Non-source)

sigma-delta调制器工具箱，包括SIMULINK和MATLAB(sigma-delta modulator toolbox, including MATLAB and SIMULINK)

The fusion of high-spectral/low-spatial resolution multispectral and low-spectral/high-spatial resolution panchromatic satellite images is a very useful technique in various applications of remote sensing. Recently, some studies showed that a wavelet-based image fusion method provides high quality spectral content in fused images. However, most wavelet-based methods yield fused results with spatial resolution that is less than that obtained via the Brovey, IHS, and PCA fusion methods. In this paper, we introduce a new method based on a curvelet transform, which represents edges better than wavelets. Since edges play a fundamental role in image representation, one effective means to enhance spatial resolution is to enhance the edges. The curvelet-based image fusion method provides richer information in the spatial and spectral domains simultaneously. We performed Landsat ETM+ image fusion and found that the proposed method provides optimum fusion results.