MotifOriginal

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.)

对于叶片面积的计算，进行图像预处理，灰度转换、直方图、去噪声等，最终计算出叶片面积的像素和。(For the calculation of leaf area, image pre-processing, gray-scale conversion, histogram, to noise, etc., and ultimately calculate the leaf area and the pixels.)

本程序可实现维纳滤波，可应用于反褶积等反问题的求解过程中，是非常简单实用的(This program can be realized Wiener filter can be applied to deconvolution inverse problems and the process is very simple and practical)

设计了完整的基于颜色直方图的图像检索系统，效果还算可以(Design of a complete color histogram-based image retrieval systems, the effect can be fairly)

DPC算法的经典实现过程，包含元数据集、决策图以及2维条线下密度聚类(The classical implementation process of DPC algorithm includes metadata set, decision diagram and 2 dimensional lower density clustering)

说明：  ISAR成像例程，对Yak42飞机数据经过包络对齐和相位校正后进行成像。(The ISAR imaging routine images the Yak42 aircraft data after envelope alignment and phase correction.)

图像的采样 • 写程序：以2 为尺度，下采样图像 ，观察不同分辨率下图像的变化情况(a) • 写程序：把(a)中获得的图像，进行上采样处理，可以选择不同的平滑方 法，比如，邻近像素复制，或者线性插值等。讨论上采样后图像的质量变 化。找出相应的改进方法。

图像的亮度对比度增强，可对较暗的图像进行亮度增强(The brightness of the image contrast enhancement, may be dark image brightness enhancement)

深度学习相关代码实现，可以用来做去噪，去模糊，回归，识别等( Initialize and train an RBM energy-based model. Supports binary, Gaussian, and multinomial inputs (still in development). Supports binary and noisy rectified linear units (NReLU) in the hidden layer. Supports joint modeling of binary and multinomial variables for classification.)

先用双峰法将细胞图像进行二值化，然后进行分割和癌细胞识别(Bimodal method first cell image binarization, and segmentation and identification of cancer cells)