资源列表
Wavelet-transform-image
- 小波变换图像边缘检测，开发环境为matlab,是基于小波变换的图像检索分支-Wavelet transform image edge detection
Watershed
- 分水岭算法，对图像进行超像素分割的函数，没有example，请自行调用-watershed image segmentation
che
- 能够检测到受监控路面的车辆并自动提取车辆牌照信息（含汉字字符、英文字母、阿拉伯数字及号牌颜色）进行处理的技术。-t can be detected by monitoring road vehicle license plate of the vehicle and automatically extract information (including Chinese characters, English letters, Arabic numerals and plate color) p
k-mean-usage
- k均值的用法示例，它的数据生成部分可用于其它机器学习程序-A example of k mean usage
to-detect--human-face-
- 检测并标识人脸的代码，可用于人脸检测，机器学习-To detect and identify the human face of code that can be used face detection, machine learning
camshif
- 运用高斯模型与camshift结合的方法实现全自动人员检测-Gaussian model using the method of combining with camshift achieve automatic detection staff
2D-linear-fitting
- 2D直线拟合，忽略了离群点，在测量值被高噪声，传感器故障等破坏的实际应用中十分重要-2D linear fitting, ignoring the outliers, are very important in high-noise measurements, sensor failures and other damage in the practical application
Pyramid-lucas-kanade-optical-flow-
- 金字塔lucas-kanade光流代码，可用于动态背景，但速度较慢-Pyramid lucas-kanade optical flow codes, can be used for dynamic background, but slower
picture-clipping
- 将图片随机剪裁成固定大小的图片，适用于机器学习中剪裁负样本-The image randomly cut to a fixed size image, for machine learning tailoring negative samples
hardexample
- 是指利用第一次训练的分类器在负样本原图上进行行人检测时所有检测到的矩形框，这些矩形框区域很明显都是误报，把这些误报的矩形框保存为图片，加入到初始的负样本集合中，重新进行SVM的训练，可显著减少误报。这种方法叫做自举法-The first is the use of trained classifier all detected rectangle detect pedestrians in the negative when the sample picture, the rectangular
beijingchafenfa
- 背景差分法的两个例子，直接采用灰度图像，如是RGB图像请先自行灰度处理-Two examples of background subtraction, the direct use of gray-scale images, the case of RGB images, please self-gradation processing
diaoyongshexiangtou
- 文件包含调用摄像头并进行视频保存，可自行调整视频帧数和录制时间。-Files contain video call camera and saved, you can adjust their own video frames and recording time.