#Imagej vs fiji software#

#Imagej vs fiji software#

The software has grown in popularity over the last 30 years, used in many research labs across the world, and driven by a large community of users actively developing extensions (known as plugins) to the software via simple programming interface. ImageJ was originally developed at the Research Services branch of the National Institutes Health (NIH) as a tool to support the analysis of scientific imagery, and formerly known as NIH Image. On the other hand, for being easy to use, ImageJ is a widely-used open source JAVA software package for image processing and analysis. Though manufacturers of image acquisition devices include dedicated image processing software, these programmes are not very flexible and do not allow more complex image manipulations. In recent years, advancements in the medical and biological sciences made imaging an increasingly important discipline. So, we present a mathematical model that determines the cluster size automatically for optimizing the overall image processing time.

The image processing time depends on the number of nodes in the cluster. The experimental results on the test images of 3D objects stored in Tagged Image File Format(TIFF) show faster processing time with high accuracy and similarity compared to the single machine-based results. The existing 3D-Object-Counter plugin was used for testing the designed system. Several ImageJ plugins were developed to distribute tasks and generate combined results efficiently. But one of the main challenges is, merging those results with high accuracy. As the cluster nodes parallelly run the existing plugins for image processing, they write the results on a shared drive. In this article, we present the approaches to make several essential and widely used ImageJ plugins to work in a cluster. Currently, it is still being used on single machines to process large medical images, which takes several hours to complete. However, ImageJ wasn't designed to work on distributed systems. It has developer API that can be used to implement new plugins for specific image processing tasks.

ImageJ is an open-source application widely used for image processing. IET Generation, Transmission & Distribution.IET Electrical Systems in Transportation.IET Cyber-Physical Systems: Theory & Applications.IET Collaborative Intelligent Manufacturing.CAAI Transactions on Intelligence Technology.