As a newcomer to image processing, I have attempted to achieve the tracking of coloured objects in some sample video footage. In my case, my little one’s blue gloves moving in a snow-covered landscape (a bitterly cold Musselburgh allotments, December 2010).
A short demonstration of how to use OpenCV to capture and display video frames from an avi file. The code demonstrates how to capture video from an example video (avi) file, get information in the form of frames per sec. and display the video.
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Flea2 Camera Physical Layout
The photograph shows the physical setup for grabbing images from a Flea2 camera (by Point Gray Research) mounted above a Xaar inket printer. This represents a prototype used to obtain images of microarray spots printed to glass sample slides, in “Format7” (partial image) mode, as the printhead moves across trays containing 25 microarray slides.
Introduction
A recent stab at grabbing images from the Flea2 camera using APIs from the FlyCapture2 SDK by Point Gray Research (PGR). Additionally, the camera was to be used in “Format 7 mode”, so that we may grab partial regions of the complete image. Continue reading
The results of some experimentation with and comparison between raw OpenCV functions and the cvBlobsLib library to detect darker coloured spots against lighter backgrounds. Continue reading
OpenCV is a free, open source library that enables your computer application to “see” and make decisions from the image data it acquires. Here are some guides for setting up OpenCV for use in Microsoft Visual Studio Environments: Continue reading
A short example of how to utilize various open source library functions that can be used to identify and analyse strongly connected components for a given input image.
In the example I have given here, the image represents microarray sample spots printed to a slide using a Xaar inket printer. Using our robotic equipment, a camera is mounted to the printhead, so that images are taken of the spots, as they are being printed on-the-fly, usually in linear groups of 12 or 32 at a time: Continue reading
