method-2

多目标质心的求取，matlab代码，适合图像处理初学者(Center of mass to strike multiple targets, matlab code for image processing for beginners)

matlab图像处理算法，包括中值滤波，平滑滤波，直方图滤波等(matlab image processing algorithms, including the median filter, smoothing filter, Histogram filtering)

一种基于彩色图像分割的余弦相似度的快速的谱聚类算法(A Fast Spectral Clustering Algorithm Based on Cosine Similarity for Color Image Segmentation)

说明：  数学形态学对信号进行去噪，效果较好，信号扰动特征得到很好保留(Mathematical morphology to signal de-noising effect is better to be a good signal to retain the characteristics of disturbance)

手指静脉预处理，图像分割，静脉纹路分割，滤波去噪，细化等相关代码(Finger vein pretreatment, image segmentation, vein segmentation, filtering and denoising, thinning and other related codes)

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.)

识别分割图像中不同颜色的部分，并分别显示出来(Identifying portion dividing the image in different colors, and were displayed)

球面投影,用于图像空间数据到目标坐标系下的映射(sphere project)

基于均值法的背景建模的前景目标提取。适合刚接触这一块的人。(Background modeling method based on mean foreground object extraction.)

使用MRF进行SAR图像变化检测，能量最小化算法采用ICM(SAR image change detection uses MRF, energy minimization algorithm uses the ICM)