搜索资源列表
BlobTracking
- Blob tracking with background subtraction
blob_oracle
- oracle 的 blob大字段类型操作例子-oracle big blob of field examples of the type of operation
VC_Blob_oracle
- 将图片以blob数据的形式，保存到oracle数据库中，并可作相应的查询、显示-The picture to the form of blob data, save to the oracle database, and for the corresponding query, showing
ADO
- 利用ADO连接Oracle数据库，，主要解决写入blob数据问题-Use ADO to connect Oracle database, the main solution to the issue of write blob data
blobdetect_1.3b
- it runs for blob detection with opencv
jsp1
- jsp页面从mysql读取图片(BLOB)-jsp page to read from the mysql picture (BLOB)
CorecoBlob
- Coreco 公司图象处理程序 BLOB检测,广泛用于工业检测领域-Coreco company BLOB image processing procedures for detection, is widely used in the field of industrial inspection
cvblob
- blob detection using OpenCV
Sqlite_Blob_WR
- Sqlite3 数据库Blob格式读写程序（ARM版）-Sqlite3 SQL Blob Mode Write and Read Program（for ARM）
Implementaciones_matlab
- Deal about important blob tracker
blob
- S3C44B0X中Blob源代码的设计与移植-Blob source code S3C44B0X in the design and transplantation
myblobtrack
- 基于OpenCV的物体跟踪..能够够根据输入的视频文件或摄像头捕捉的媒体文件进行分析-Blob Tracker base on OpenCV
blob
- SAVING & RETRIVING IMAGE FILE
81404598Blob
- 经典的斑块分析算法，计算Blob的源码，算法很好。-Classical plaque analysis algorithms to calculate Blob source code, algorithms very well.
object_detect
- detect object (blob) use opencv library
blobtrack
- an application for blob tracking with open cv library using visual c + + for windows platform -an application for blob tracking with open cv library using visual c++ for windows platform a a a a
CGLGrassfire
- OpenCV function that finds BLOBS in a binary image with the help of the Grassfire algorithm. It is not recursive, but call the function Grassfire each time a white pixel is found in the image. Input: 8bit Unsigned C
Blob_Tracking_Tests
- this the descr iption of Blob tracking tests-this is the descr iption of Blob tracking tests
Blob_Tracking_Modules
- This the descr iption of blob tracking modules.-This is the descr iption of blob tracking modules.
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