IJ-OpenCV: Combining ImageJ and OpenCV for processing images in biomedicine. (1st May 2017)

• Record Type: Journal Article
• Authors: Domínguez, César; Heras, Jónathan; Pascual, Vico
• Is Part Of: Computers in biology and medicine. Volume 84(2017)
• Page Start: 189
• Page End: 194
• Publication Date: 2017-05-01
• Subjects: ImageJ -- OpenCV -- Interoperability -- Image processing -- Computer vision -- Machine learning -- Biomedicine; Medicine -- Data processing -- Periodicals; Biology -- Data processing -- Periodicals; 610.285
• DOI: 10.1016/j.compbiomed.2017.03.027
• Languages: English
• ISSNs: 0010-4825

Abstract

Abstract: Background and Objective . The effective processing of biomedical images usually requires the interoperability of diverse software tools that have different aims but are complementary. The goal of this work is to develop a bridge to connect two of those tools: ImageJ, a program for image analysis in life sciences, and OpenCV, a computer vision and machine learning library. Methods . Based on a thorough analysis of ImageJ and OpenCV, we detected the features of these systems that could be enhanced, and developed a library to combine both tools, taking advantage of the strengths of each system. The library was implemented on top of the SciJava converter framework. We also provide a methodology to use this library. Results . We have developed the publicly available library IJ-OpenCV that can be employed to create applications combining features from both ImageJ and OpenCV. From the perspective of ImageJ developers, they can use IJ-OpenCV to easily create plugins that use any functionality provided by the OpenCV library and explore different alternatives. From the perspective of OpenCV developers, this library provides a link to the ImageJ graphical user interface and all its features to handle regions of interest. Conclusions . The IJ-OpenCV library bridges the gap between ImageJ and OpenCV, allowing the connection and the cooperation of these two systems.