Abstract
Over the past few decades, many applications have been developed for quantify the performance of image segmentation algorithms. However, applying standard interactive segmentation software for large image datasets would be an extremely laborious and a time-consuming task. In this chapter, we present an online evaluation framework for analysis and visualization features via Internet communication that serves as a remote system. One of the features of the online evaluation system is the combination of MATLAB and Java to provide benefit platform that create the application with advanced mathematical computation as well as a well-designed graphical interface. This framework provides a web-based tool for validating the efficiency of segmentation algorithms. Experimental results show the possible ways in order to transfer MATLAB algorithm into a MATLAB license-free that make algorithm developed within MATLAB run all cross the platform and available on internet. In addition, the implementation methodology reported can be reused for other similar software engineering tasks.
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Acknowledgements
This work is supported by the National Science Foundation of China under Grants 61202190 and 61175047, the Science and Technology Planning Project of Sichuan Province under Grant 2012RZ0008, and by the Fundamental Research Funds for the Central Universities under Grant 2682013CX055.
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Nguyen, K., Peng, B., Li, T., Chen, Q. (2014). Online Evaluation System of Image Segmentation. In: Wen, Z., Li, T. (eds) Practical Applications of Intelligent Systems. Advances in Intelligent Systems and Computing, vol 279. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-54927-4_50
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DOI: https://doi.org/10.1007/978-3-642-54927-4_50
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