资源列表
LIBSVM
- svm的理论分析,来自台湾的牛人编写的有效源代码解析-svm theoretical analysis, the preparation of cattle from Taiwan and effective source code analysis
GaussianBlur
- 在图像预处理中,对图像进行平滑,去除噪声,恢复原始图像是一个重要内容。本文设计了一个平滑尺度和 模板大小均可以改变的高斯滤波器,用它对多幅加入各种噪声后的图像进行平滑,经过对各个结果图像的对比可知高斯滤波 对服从正态分布的噪声去除效果比较好,并且相比各个不同参数,在平滑尺度为2,模板大小为7 时效果最佳。-In the image pre-processing, image smoothing, noise removal, restore the original image is a
yichuansuanfa
- 遗传算法,随机产生100个种群,交叉产生100,变异产生100,然后选取最优的100个种群继续交叉变异-Genetic algorithm, randomly generated 100 population, cross produces 100, mutation produces 100, and then select the best 100 stocks continue to crossover and mutation
opengl
- Cour OpenGl pour les nulls
UKFMean_Shift
- 提出一种多尺度理论与无味卡尔曼滤波 器(UKF)相结合的视频跟踪改进算法。利用多尺度理论统计跟踪窗内的信息量,使用 UKF 对得到的信息量进行预测,通过修正后的信息量 计算窗口变化比例系数,对尺度任意变化的目标进行跟踪。-An novel method is proposed that is multi-scale space theory combined with Unscented Kalman Filter(UKF). UKF filter is introduced to
Scale-SpaceandEdgeDetectionUsingAnisotropic
- 基于各向异性的尺度空间和边缘检测算法介绍-Anisotropy of the scale space-based and edge detection algorithm introduced
light
- 此程序可实现如下功能,画出一个红绿灯,该红绿灯每一段时间间隔会变色,并且绿灯时间和红灯显示时间不同-This procedure enables the following functions, draw a traffic light, the traffic light will change each time interval, and the green and red display time in different time
NateRobinsTutorials
- Nate Robins的OpenGL教学源码非常适合初学者。比大多数教程要来的好,就是数量不多。
JpegDecoder
- JPEG解码程序,效率不算高,可满足单帧解码需求。-JPEG decoding process, whose efficiency is not high, but to meet the demand for single-frame decoding.
WAVEFORM-ALL-ANALYSE5
- VC++编程实现对波形数据的波形分析,频谱分析, 包括各种滤波,很有参考价值-VC++ programming on the waveform data, waveform analysis, spectrum analysis, including filtering, a good reference
paper1
- Most apparent distortion full-reference image quality assessment and the role of strategy
200503-95
- 为了弥补传统中值滤波器在进行图像降噪处理中的不足,在图像降噪技术中应用了自适应中值滤波器。文中重点介绍了自适应中值滤波器的工作原理并在Matlab平台上进行了仿真试验,与传统中值滤波器进行了比较,计算机仿真结果表明在对密度较大的椒盐噪声进行滤波时,自适应中值滤波较传统中值滤波具有较大的优越性。-To remedy disadvantage of traditional median filtering algorithms in image denoise ,adaptive median fi
