水果识别系统

非常详细的一篇论文，仔细介绍了手指静脉识别的的全过程(A very detailed paper, carefully introduced the finger vein identification process)

软岩隧道围岩稳定性和位移影响分析，研究围岩稳定性和位移的一篇论文，感觉挺好。(Soft Rock Tunnel stability and deformation analysis, stability and displacement of rock paper, feeling very good.)

光斑中心提取算法，在VS2010下，用opencv2.3.1编写的控制台程序，主要功能是利用hession矩阵和高斯滤波进行光斑中心点提取，里面附测试图片，提取精度为亚像素级别。(Spot center extraction algorithm, in VS2010, written by opencv2.3.1 console program, the main function is to use hession matrices and Gaussian filter for extracting the center spot, which is attached test images, the extraction accuracy of sub-pixel level.)

说明：  对图形进行二维傅里叶变化后的频谱进行中心化(Centralization of the spectrum after two-dimensional Fourier transform)

用区域生长法代码实现对图像的分割，包括阈值的选取(Using region growing method to achieve the image segmentation, including the selection of threshold)

编程实现二维8*8图像块的DFT，DCT变换 输入一副RGB图像，将其转化为YCbCr颜色空间，然后对Y分量做分块DFT变换，保存为灰度图像，统计计算时间 编程实现8*8块DCT变换,然后分别显示，当使用64个DCT系数里面的一些系数进行重构，比较其质量；同时熟悉采用FFT来实现DCT变换的思想，并显示2维8*8DCT变换的基函数图像(Programming the DFT, DCT transform of two dimensional 8*8 image block Input a pair of RGB images, transform it into YCbCr color space, then divide the Y component into block DFT transform, save as gray image, and calculate the calculation time The 8*8 block DCT transform is implemented by programming, and then it is shown that when using some coefficients in 64 DCT coefficients, the quality is reconstructed. Meanwhile, the idea of DCT transformation is familiar with FFT, and the base function image of the 2 dimensional 8*8DCT transform is displayed.)

说明：  MATLAB实现的图像处理算法,计算图像中的欧拉数,(MATLAB realize the image processing algorithm to calculate the Euler number of images,)

关于分水岭图像分割的源码，需要的可以下来用(watershed image segmentation on the source need to be down with the)

说明：  能够实现对生物芯片的识别和图像处理，识别有效芯片区域，读取阴性和阳性点分布和数量。(It can realize the recognition and image processing of biochip, identify the effective chip area, read the distribution and number of negative and positive points.)

蚁群算法，图像边缘检测，用于模式识别，可以编译通过！(Ant colony algorithm for image edge detection for pattern recognition can be compiled by!)