Ashok's Programming World

Showing posts with label OpenCV. Show all posts

Friday, July 22, 2011

IoeCamPlus : v2.0ß realeased

IoeCamPlus is a cross platform webcam application With the problems faced with IoeCamPlusv1.0, the 2nd version of IoeCamPlus is released.

Updates in the IoeCamPlusv2.0ß :-

Image saving problem in v1.0 is solved.
new dll files installation updated.
Painter added for images browsed.
Error handling in case of missing camera hardware added etc.

You can download the source and installation file:-

Your feedbacks are important for us to improve the IoeCamPlus. So do comment….

Thursday, April 21, 2011

IoeCamPlus : II/I part IOE Project

IoeCamPlus is a cross platform webcam application developed as a part of II/I part C++ project at Pulchok Campus.
Platform: QT and OpenCV
Language : C++

is an application designed to utilize web cams present in most of the laptops and notebooks. This application is also able to utilize other simple USB PnP web cam technologies for PC’s. In a nutshell, this application is made to be a lightweight alternative to the default web cam application that comes with the corresponding machine.
The project runs in two different modes:-
A. Camera Mode
B. Image Mode

Qt–OpenCV : Hello image display in the screen

After successfully configuring your Qt-Creator with OpenCV library, its now time to get your hands dirty with the openCV programming. Here I have created a simple sample program which loads the picture from your drive named hello.jpg. Its really simple Smile

Qt : Installing OpenCV in Qt Platform

QTCreator is the open source cross-platform IDE from Nokia’s QT project, and with its ease of use, complete integration with the QT library, and included compiler, it has proven to be a complete solution. After downloading the latest version of Qt-Creator and openCV libray w the following instructions to configure the openCV library.

OpenCV : Library for Computer Vision

What Is OpenCV?

OpenCV [OpenCV] is an open source (see http://opensource.org) computer vision library available from http://SourceForge.net/projects/opencvlibrary. Th e library is written in C and C++ and runs under Linux, Windows and Mac OS X. Th ere is active development on interfaces for Python, Ruby, Matlab, and other languages.

One of OpenCV’s goals is to provide a simple-to-use computer vision infrastructure that helps people build fairly sophisticated vision applications quickly. Th e OpenCV library contains over 500 functions that span many areas in vision, including factory product inspection, medical imaging, security, user interface, camera calibration, stereo vision, and robotics. Because computer vision and machine learning oft en go hand-inhand, OpenCV also contains a full, general-purpose Machine Learning Library (MLL). Th is sublibrary is focused on statistical pattern recognition and clustering. Th e MLL is highly useful for the vision tasks that are at the core of OpenCV’s mission, but it is general enough to be used for any machine learning problem.

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