- LISTINGS c++多线程编程源代码
- 6502_1.2.5.src VC下的一个NES模拟器的源代码
- publication a higher dimensional surface. It is common practice to model this surface as a function of time. So as time progresses
- h 这是一款android的小游戏
- PSO_Rastrigin Particle Swarm Optimization is an optimization technique used here for getting minimum of the rastrigin function
资源列表
MATLAB
- 通过一些列处理得到，手掌静脉纹理的二值化图像(Two valued image for extracting palm vein texture)
16
- 对摄像头采集的视频进行简单色彩检测ColorDetection(Simple color detection of video captured by camera ColorDetection)
支撑材料
- radon变换Redistribution and use in source and binary forms, with or without modification, are permitted provided that the followin(OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY,
视频读取-播放-存储操作程序
- avi2img.m 功能：将视频转换为单张图片 avi2mat.m 功能：将所有单帧图片转换为向量存储为mat文件 img2avi.m 功能：将所有单帧图片转换为视频 run_vedio.m 功能：将视频在Matlab中播放(Avi2img.m function: converts the video to a single picture Avi2mat.m function: converts all single frame pictures into vect
stitch_sse
- 用SSE2实现图像拼接，得到拼接后的全景图。(Using SSE2 to realize image mosaic)
Developers Guide
- SpaceClaim文件，Developers Guide汉化。(The Chinese translation of Developers Guide.)
video
- 1. 静态背景下的背景预测法目标检测 2. 静态背景下帧间差分法目标检测 3. Mean Shift目标跟踪方法 4. 重心多目标跟踪方法(1. Background prediction method background detection in static background 2. Inter-frame difference method target detection in static background 3. Mean Shift The target track
avi2img (3)
- 本函数可以将avi格式的视频转换为img格式的图片(This function can convert avi format video to img format pictures)
Reduction of Partial-Volume Artifacts in MRI
- mri重建时消除部分体积伪影，利用cross-sectional、ZEF、VEF等滤波(In the MRI reconstruction, some K spatial data are accelerated and cross-sectional filtering is used)
code
- 初步尝试使用单高斯模型进行背景建模与跟踪提取，采用形态学方法，对于背景单一的场景，提取效果还可以。(Preliminary attempts are made to use single Gauss model for background modeling and tracking extraction. Morphological method is used to extract the effect from a single scene.)
分水岭_算法
- 分水岭的计算过程是一个迭代标注过程。分水岭比较经典的计算方法是L. Vincent提出的。在该算法中，分水岭计算分两个步骤，一个是排序过程，一个是淹没过程。首先对每个像素的灰度级进行从低到高排序，然后在从低到高实现淹没过程中，对每一个局部极小值在h阶高度的影响域采用先进先出(FIFO)结构进行判断及标注。(The watershed computation process is an iterative annotation procedure. Watershed comparison, th
FASTA
- 一种与FASTA实现的前向向后分裂的指南(A FIELD GUIDE TO FORWARD-BACKWARD SPLITTING WITH A FASTA IMPLEMENTATION)