资源列表
tuxiangronghe
- 本文给出了一种混合多级式多聚焦图像融合方法。对于三层小波分解的多聚焦图像融合,每幅图像被分解为三层十个频带。对这十个频带本文分别采用三种方法进行融合。对于低频系数,本文仍然采用求平均法;对于高频系数本文采用方差法和最大系数法进行融合。它们的计算量比最大系数法大一些,但是融合结果更接近于原始清晰图像,而相比于方差法,它们的计算量小的多,但是融合质量稍差一些,应用者可以根据不同的需要进行选择。-This paper presents a hybrid multi-level multi-focus
Tracking
- 使用VC++ 6.0 和 OpenCv实现粒子滤波目标跟踪算法,主要功能在MFC对话框内实现。-particle filter object tracking
ConvertFormat
- 用OpenCV开发的批量转换图像格式工具。VC6+OpenCV1.0。-Developed using OpenCV image format batch conversion tool. VC6+ OpenCV1.0.
VTK_ITK_MFC
- vtk.itk和MFC结合的一个实例,对入门者了解三者的混合编程作用很大-vtk.itk and MFC with an instance, for beginners to understand the role of the three great mix of programming
Ledshibie
- Led的识别系统,基于dephi语言开发设计的,能够检验识别led系统-Led the identification system, based on dephi language development designed to check identification led system
DCT
- 基于稀疏表示的inpaint去水印,部分代码,请安装sparse toolbox....欢迎下载-Camera self-calibration matlab source code, documentation and multi-view geometry ~ ~ and welcome to download the package ....
xiaobofenxi
- 在“小波分析”文件中xiaobofenxi.m为主函数,gui.m是有界面的主函数。相对于上次主要是对于高频系数用了线性变换,低频系数用了非线性变换。-In "wavelet analysis" file xiaobofenxi. M primarily function, GUI. M is the main function have the interface. Relative to the last major is to high frequency coefficients use
ASEF_LocationEyes
- 基于ASEF方法的人眼精确定位方法,解压后,在目录中有一个使用说明文件,可以帮助你使用它-Method based ASEF precise eye positioning method, unpacked, in the directory has a file using the instructions that can help you use it
SVMLS_v0
- 这是张开化在CIPI上的一篇文章的源代码,其中在图像分割的同时实现了偏差的校正,很有研究价值,里面有好多经典之笔-This is the opening of the CIPI an article on the source code, which at the same time to achieve image segmentation error correction, great research value, there are a lot of classic pen
Context-aware-saliency-detection
- 基于上下文注意的显著区域检测,附件包括代码和英文文章。-Context-Aware Saliency Detection
PlateRecognitionSystem
- 基于聚类的车牌识别系统,包括车牌预处理、特征提取功能,可以逐步完成定位、二值化、归一化以及字符细化等操作。-Including license plate preprocessing, feature extraction capabilities, positioning can be done step by step, the two values, normalized, and character refinement and other operations.
Perception-Approach
- 多类的感知器算法实现,可对多个模式进行判别-More of the perceptron algorithm, multiple patterns can distinguish
