CeYiZhi_2_off

针对空间发光点缩成光斑图像中心的高精度提取问题，本文提出一种亚像素提取方法。该方法简历了具有高斯能量分布的空间发光点的透视投影光斑图像灰度分部数学模型，证明了空间发光点能量中心的透视投影不变性。(Light-emitting points of space shrunk to spot high-precision center of the image extraction problem, we propose a subpixel extraction method. This method resumes a space with Gaussian energy distribution points of perspective projection spot light gray segment mathematical model to prove the energy center of the space light-emitting point perspective projection invariance.)

lbg算法是一种经典的矢量量化算法，此源码为lbg算法的c语言实现。(lbg algorithm is a classic vector quantization algorithm, the algorithm lbg source for the C Language.)

活动轮廓算法中的一类-几何轮廓算法，又称Levelset水平集算法，关于该算法的Matlab源码（包含一个test实例）(Active contour algorithm for a class- the geometric contours algorithm, also known as Levelset level set algorithm, algorithm on the Matlab source code (including a test instance))

基于小波变换的图像融合程序，低频采用加权平均，高频采用能量最大准则。(Based on wavelet transform image fusion program, low-weighted average, using high-frequency energy is the biggest criteria.)

1．选择一幅图像，对该图像进行DCT块操作（将图像分成8×8小块，对每个小块进行DCT变换）。 2.利用屏蔽矩阵对DCT系数进行区域选择，然后进行逆变换（IDCT），合成原图像，计算合成图像的PSNR。 3.选择一小波函数，对一幅图像进行分解，显示各变换系数，观察其规律，并进行小波逆变换，合成原图像。 (1. Select an image, the image DCT block operations (the image is divided into 8 × 8 small pieces of each small piece for DCT transform). 2. The use of shielding on the DCT coefficient matrix of regional choices, and then inverse transform (IDCT), synthesis of the original image, calculating the synthetic image PSNR. 3. To select a wavelet function, decomposition of an image to show the transform coefficients, to observe its laws, and inverse wavelet transform, the original synthetic image.)

可以对一幅图像提取边缘直方图，很有用的，用与图像匹配(Can extract the edge of an image histogram, useful, and image matching using)

Susan算法，用于角点检测。很先进的方法，国内有人改进过，这是原来的方法。(Susan algorithm for corner detection. The most advanced methods, there are those who improved, this is the original method.)

多尺度retinex算法的matlab程序，用着不错(The matlab program of multi-scale Retinex algorithm is well used)

主要是关于模糊熵的，里面还和灰色关联度有点联系。搞图像的应该可以看的懂的。(Mainly on fuzzy entropy, which has little contact and the gray. Should be able to read out the image of understand.)

区域邻接图的合并规则，在进行区域合并时可以使用，希望对大家有用(region merging for region adjecent gragh，might it be help for you.)