CitedEvidence
User Settings
Open AccessArticle

Evaluation and Improvement of Image Acquisition and Processing Methods for the BioNanoLab

Magnus Elgh-2009-01-01-KTH Publication Database DiVA (KTH Royal Institute of Technology)
0

TL;DRAbstract

BioNanoLab is a project aimed towards developing a prototype for a system capableof fast and sensitive detection of biological warfare agents. One of the important partsin the project is image acquisition and processing. My task was to evaluate andimprove these methods. The first step was to choose a machine vision library to useand then to write a program for acquiring images from line scan cameras to disctrough frame grabbers and to write code for processing the images. The two different machine vision libraries I tested were Sapera Essential andCommon vision blox (CVB). Sapera Essential is a machine vision library from Dalsa. Itis platform dependent as it only works for Dalsa hardware. CVB on the other hand isa hardware independent machine vision library from Stemmer imaging. The run times for the two libraries were almost the same but Sapera Essential waschosen as the winner because we wanted the more low level control which Saperaoffers, as it is written specifically for the hardw

Chat with Paper

AI Agents for this Paper

BioNanoLab is a project aimed towards developing a prototype for a system capableof fast and sensitive detection of biological warfare agents. One of the important partsin the project is image acquisition and processing. My task was to evaluate andimprove these methods. The first step was to choose a machine vision library to useand then to write a program for acquiring images from line scan cameras to disctrough frame grabbers and to write code for processing the images. The two different machine vision libraries I tested were Sapera Essential andCommon vision blox (CVB). Sapera Essential is a machine vision library from Dalsa. Itis platform dependent as it only works for Dalsa hardware. CVB on the other hand isa hardware independent machine vision library from Stemmer imaging. The run times for the two libraries were almost the same but Sapera Essential waschosen as the winner because we wanted the more low level control which Saperaoffers, as it is written specifically for the hardw

Keywords

Image processingComputer scienceComputer visionArtificial intelligenceImage (mathematics)

Chat

Click to start Chat