数字图象处理

对细胞进行分割和追踪的代码，细胞是植物细胞，其中的两篇论文是局部图分割的经典论文，值得一看(To segmentation and tracking code of cells, cells is plant cell, two of the paper is a classic papers of local map segmentation, worth a look)

说明：  slic超像素分割，可以实现图像的超像素分割(SLIC super pixel segmentation)

matlab嵌入水印源程序 在matlab中实现数字水印的嵌入，提取和检测(Matlab source watermark embedded in Matlab achieve digital watermark embedding and extraction and detection)

灰度图像图像锐化处理，拉普拉斯变换，梯度等(Grayscale image sharpening, Laplace transforms, gradients, etc.)

针对彩色图像的局部直方图均衡化，可以较好的增强图像细节(poshe,it can enhancements the detail of the image )

该代码是基于学习的超分辨率重建，此算法是在线字典学习，字典的训练与稀疏表示与重建同时进行。(This code is based on the study of super-resolution reconstruction, this algorithm is learning online dictionaries, dictionaries of training and sparse representation and reconstruction simultaneously.)

SSD: Single Shot MultiBox Object Detector, in PyTorch A PyTorch implementation of Single Shot MultiBox Detector from the 2016 paper by Wei Liu, Dragomir Anguelov, Dumitru Erhan, Christian Szegedy, Scott Reed, Cheng-Yang, and Alexander C. Berg. The official and original Caffe code can be found here. Table of Contents Installation Datasets Train Evaluate Performance Demos Future Work Reference

该源代码主要是利用bagging,adboosting等集成学习的方法进行图像融合处理，效果甚好！(The main source is the use of bagging, adboosting ensemble learning methods such as image fusion, the effect is very good!)

最大熵多阈值实现多红外图像的实时处理，多阈值实现(The maximum entropy multi-threshold to achieve real-time processing of multiple infrared image.)

这是CVPR2011论文“Single-Image Shadow Detection and Removal using Paired Regions”最新的代码，可以直接在Windows环境下直接运行，阴影检测效果很好。(This code is the latest version for the paper, Single-Image Shadow Detection and Removal using Paired Regions ,in CVPR2011.It can directly work in Windows environment and perform well. )