搜索资源列表
TracKIT
- TrackIT是一款开放式的机器视觉开发平台,目前集成了从相机输入、色彩转换、彩色图像处理、灰度图像处理、二值图像处理、阈值分割、边缘检测、Blob检测、相机标定、Kalman滤波器、光流跟踪器、最近邻域跟踪、数学形态学方法、机器学习算法等近100个组件,并在不断添加更新中,采用开源OpenCV、WxWidgets、CMU139等标准工具,使用XML动态解析界面,所有参数在界面上直接调整,同时可立即看到调整效果,并可动态加载组件,可用于一般科学研究和机器视觉系统开发。运行时需要.net框架支持。
TestBlob
- 实时监测的快速影像分割方法 BLOB分割,对背景相对确定,有实时性要求的影像分割,目标提取有非常好的效果。-Real time monitoring of fast image segmentation method to determine the relative BLOB segmentation, background, with the requirements of real-time image segmentation, object extraction results are
WaveletBasedImageSegmentation
- 基于小波变换的图像分割算法,它实现了论文 Wavelet Based Bimodal Image Segmentation for Blob Exctraction... 的算法。-This code is a part of work Wavelet Based Bimodal Image Segmentation for Blob Exctraction... .
Connected-Components
- Connected-component labeling (alternatively connected-component analysis, blob extraction, region labeling, blob discovery, or region extraction) is an algorithmic application of graph theory, where subsets of connected components are uniquely labele