M_map1.4j工具箱官方中文版使用说明及示例

实现DCT变换和FFT变换的图像压缩， 比较两者性能的差异(The DCT transform and FFT transform image compression)

说明：  实现多个阈值的图像分割及K-mean聚类的图像分割(Multiple threshold image segmentation or K-mean clustering image segmentation)

一个医学图像配准的源程序，希望对大家有用(A medical image registration of the source, in the hope that useful to everybody)

matlab 高动态图像 读取的hdr格式的读取文件，经测试可以用(matlab read hdr high dynamic image to read the file format, the test can be used)

shi-tomasi方法角点提取方法。该方法测量结构张量的最小特征值。这代表了Harris和诺贝尔探测器试图近似的理想。哈里斯希望在计算特征时避免计算平方根的计算成本。(Shi-Tomasi corner detector method.The method measure returns the minimum eigenvalue of the structure tensor. This represents the ideal that the Harris and Noble detectors attempt to approximate. Back in 1988 Harris wanted to avoid the computational cost of taking a square root when computing features. This is no longer relevant today!)

用matlab实现图像变形的实验实例，采用idw 和 rbf 算法(imagewarping using idw&rbf algorithms in matlab)

利用霍夫变换进行椭圆检测，无需模板，不同的图片只需要更改个别参数(Ellipse detection using Hough transform, without templates, a different picture only need to change individual parameters)

MCA为形态学成分分析 将图像分为纹理和结构两个部分(MCA method of image decomposition texture and structure)

二维图形图像处理，高斯平滑的源代码，图像预处理(Two-dimensional graphic image processing, Gaussian smoothing of the source code, image preprocessing)

1．用Matlab产生正弦波,矩形波,以及白噪声信号，并显示各自时域波形图 2．进行FFT变换，显示各自频谱图，其中采样率，频率、数据长度自选 3．做出上述三种信号的均方根图谱,功率图谱,以及对数均方根图谱 4．用IFFT傅立叶反变换恢复信号，并显示恢复的正弦信号时域波形图( 1. Using Matlab generated sine wave, square wave, and the white noise signal, and displays the respective time-domain waveform 2. The FFT transform, showing each spectrum, where the sampling rate, frequency, data length choice 3. Rms signal to make the three maps, power spectra, as well as the number of rms spectra 4. With the inverse Fourier transform IFFT restore the signal and displays the recovered time-domain waveform sinusoidal signal)