Formulating efficient software solution for digital image processing system |
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| Authors: | Thomas Sherwood Ezak Ahmad Moi Hoon Yap |
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| Affiliation: | School of Computing, Mathematics and Digital Technology, Manchester Metropolitan University, Manchester, UK |
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| Abstract: | Digital image processing systems are complex, being usually composed of different computer vision libraries. Algorithm implementations cannot be directly used in conjunction with algorithms developed using other computer vision libraries. This paper formulates a software solution by proposing a processor with the capability of handling different types of image processing algorithms, which allow the end users to install new image processing algorithms from any library. This approach has other functionalities like capability to process one or more images, manage multiple processing jobs simultaneously and maintain the manner in which an image was processed for later use. It is a computational efficient and promising technique to handle variety of image processing algorithms. To promote the reusability and adaptation of the package for new types of analysis, a feature of sustainability is established. The framework is integrated and tested on a medical imaging application, and the software is made freely available for the reader. Future work involves introducing the capability to connect to another instance of processing service with better performance. Copyright © 2015 John Wiley & Sons, Ltd. |
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| Keywords: | image processing software solution sustainability plugin OpenCV Matlab |
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