Compressionmotionestimate

说明：  图像四叉树分解，对于图像灰度值进行四叉树分解，并覆盖原图显示(Image quadtree decomposition)

FCM和稀疏场水平集用于分割医学图像分割(FCM and sparse field level set for segmentation of medical image segmentation)

说明：  SIFT算法的区域匹配，比原有的SIFT+KD树匹配更加高效、准确。(different area SIFT algorithm which is better than the original SIFT and KD tree match.)

通过高通滤波器实现对图像的锐化处理，能去除不需要的模糊轮廓而加强边缘的对比度。(Image sharpening to achieve through a high-pass filter, and enhance the contrast edges blurred outline can remove unwanted.)

利用 计算机强大的图像生成功能，快速、便捷地模拟生成实际战场环境下可能经历的 各种红外场景，逼真地反映探测制导系统的红外辐射分布(Using powerful computer image generation, quickly and easily simulate actual battlefield environment generated may experience a variety of infrared scene vividly reflect the guidance system to detect infrared radiation distribution)

基于matlab的CT图像处理，提取感兴趣的区域，并染色。计算面积(Based on matlab CT image processing, extract the region of interest and dyed. Calculate the area)

图像恢复：快速非局部均值滤波--A.Buwades等人提出的非局部均值滤波的快速实现方法(Image restoration: the proposed fast non-local means filtering- A. Buwades non-local means filtering Fast Implementation)

介绍ransac的matlab程序，用在图形图像基于特征点的配准中 可以有效的剔除错误的匹配点 (介绍ransac的matlab程序，用在图形图像基于特征点的配准中 可以有效的剔除错误的匹配点 )

下面给出了48项泽尼克多项式，外加一项常数项。需要注意的是，读者并不需要严格按照下文所示的顺序排列这些泽尼克项，实际上在不同的应用和机构会采用不同的排列顺序。 表中的#0项是个常数或者说是平移项（piston term），这一项的系数也代表了平均光程差；而#1和#2项分别是x和y方向的倾斜项（tilt terms），#3代表了聚焦，因此，#1到#3项代表了波前的高斯或者近轴特性；#4和#5项代表了像散和离焦，#6和#7项代表彗差和倾斜，而#8项代表了3级像差和离焦，也就是说#4到#8项为3级相差项；同样地，#9到#15项代表了5级像差，而#16到#24项代表了7级像差，#25到#35项代表了9级像差，#36到#48项代表了11级像差。(Here are 48 Zernike polynomials, plus a constant term. It is important to note that the reader does not need to strictly arrange the Zernike entries in the order shown below, but in fact different orders of arrangement are applied to different applications and institutions. Table #0 is a constant or a shift (piston term), a coefficient of this term also represents the average optical path difference; while #1 and #2 are inclined X and Y direction (tilt terms), #3 represents the focus, therefore, #1 to #3 on behalf of the wavefront. Gauss or paraxial properties; #4 and #5 represent the astigmatism and defocus, #6 and #7 represent coma and tilt, and #8 represents the 3 order aberration and defocus, that is to say #4 to #8 is 3 level difference; similarly, #9 to #15 on behalf of the 5 order aberration #16 and #24, to represent the 7 level #25 to #35 aberration, on behalf of the 9 #36 to #48 aberration, on behalf of the 11 order aberration.)

CZT变换进行信号频谱分析，解决了FFT法频域分辨不高的问题，源码开发，特别适用(Chirp Z Transform)