LBF

数据挖掘讲义第一章基础知识,PDF文件大小约400K()

新的水下图像对比度增强和分割算法（实现对比度的增强和图像分割，内容包括：新的水下图像对比度增强算法、水下图像的分割算法--2008a）(The new underwater image contrast enhancement and segmentation algorithm (implemented contrast enhancement and image segmentation, including: new underwater image contrast enhancement algorithms, underwater image segmentation algorithm- 2008a))

经典复合式指纹细化算法源码，算法步骤为先用快速并行算法遍历，后用OPTA算法遍历，附有注释。(Classic composite fingerprint thinning algorithm source code, for the first step of the algorithm with fast parallel algorithm traversal traversal algorithm after using OPTA, annotated.)

基于GEE平台，landsat影像的随机森立法土地覆盖分类(Land cover classification based on the random son legislation based on the GEE platform.)

说明：  灰度图像的边缘检测，包含多种算子：sobel,prewitt,gaosi算子等，包括原理和各算子的区别(Edge detection of gray image includes many operators: Sobel, Prewitt, Gaosi, etc)

机器视觉,计算机视觉,人脸识别,形态学,图像采集,压缩编码,数字水印,神经网络,人工智能,模式识别,特征提取,图像检索,视频检索,计算机图形学(machine vision, computer vision, face recognition, morphology, image acquisition, compression, digital watermarking, neural network, artificial intelligence, pattern recognition, feature extraction, image retrieval, video retrieval, computer graphics)

图像球面化，对于输入的图片进行球面变换达到图形变形的效果(Spherical image of, for input images to spherical transformation to achieve the effect of graph distortion)

说明：  当前论文主要考虑的是非信号依赖的高斯噪声下的图像恢复，本程序实现了泊松噪声下的图像恢复，泊松噪声为信号依赖噪声，能够更加有效逼近实际成像系统噪声。( This is the code that was used in the papers "A Nonnnegatively Constrained Convex Programming Method for Image Reconstruction", "Total Variation-Penalized Poisson Likelihood Estimation for Ill-Posed Problems", "Tikhonov Regularized Poisson Likelihood Estimation: Theoretical Justification and a Computational Method", "An Efficient Computational Method for Total Variation with Poisson Negative-Log Likelihood", "An Analysis of Regularization by Diffusion for Ill-Posed Poisson Likelihood Estimation," "An Iterative Method for Edge-Preserving MAP Estimation when Data-Noise is Poisson", and finally, "Regularization Parameter Selection Methods for Ill-Posed Poisson Maximum Likelihood Estimation". See my publications page for more details. The main algorithm is for nonnegatively constrained, regularized Poisson likelihood estimation. At this point you can choose Tikhonov, total variation regularization, and diffusion regularization. A number of other methods are also implemented. Regularizatio)

史上最快人脸检测系统（超越OpenCV）

矩不变量，适用于图像匹配，数字水印，图像重建(Moment invariants, applicable to the image matching, digital watermarking, image reconstruction)