Abstract | ||
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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. |
Year | DOI | Venue |
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2017 | 10.1016/j.compbiomed.2017.03.027 | Computers in Biology and Medicine |
Keywords | DocType | Volume |
ImageJ,OpenCV,Interoperability,Image processing,Computer vision,Machine learning,Biomedicine | Journal | 84 |
ISSN | Citations | PageRank |
0010-4825 | 2 | 0.59 |
References | Authors | |
0 | 3 |
Name | Order | Citations | PageRank |
---|---|---|---|
César Domínguez | 1 | 95 | 18.93 |
Jónathan Heras | 2 | 94 | 23.31 |
Vico Pascual | 3 | 58 | 13.19 |