Container based parallelization for faster and reliable image segmentation
作者： Mohan Muppidi , Paul Rad , Sos S. Agaian , Mo Jamshidi
关键词: Quantization (physics) 、 Parallel computing 、 Scalability 、 Segmentation-based object categorization 、 Image texture 、 Scale-space segmentation 、 Cloud computing 、 Image processing 、 Computer science 、 Image segmentation
摘要: In this paper, we describe a scalable and economical architecture for performing container based parallelization to obtain the best possible quantized image using different quantization techniques on cloud. This approach containers can be scaled used with huge datasets. The in paper are fuzzy entropy genetic algorithm techniques. Different types of membership functions each technique calculate entropy. is determined Structural Similarity Index (SSIM). futuristic solving lengthy repetitive serial problems parallel way. As expected results significantly better than approach.
sci-hub.se 参考文章(19)
Amlan Jyoti, Mihir N. Mohanty, Sidhant Kumar Kar, B. N. Biswal, Optimized Clustering Method for CT Brain Image Segmentation Advances in Intelligent Systems and Computing. pp. 317- 324 ,(2015) , 10.1007/978-3-319-11933-5_34
Mohan Muppidi, Paul Rad, Sos S. Agaian, Mo Jamshidi, Image segmentation by multi-level thresholding based on fuzzy entropy and genetic algorithm in cloud service oriented software engineering. pp. 492- 497 ,(2015) , 10.1109/SYSOSE.2015.7151945
K. Idrissi, J. Ricard, A. Baskurt, Multi-component cross entropy segmentation for color image retrieval information technology interfaces. pp. 132- 137 ,(2001) , 10.1109/ISPA.2001.938616
C.-I. Chang, Y. Du, J. Wang, S.-M. Guo, P.D. Thouin, Survey and comparative analysis of entropy and relative entropy thresholding techniques IEE Proceedings - Vision, Image, and Signal Processing. ,vol. 153, pp. 837- 850 ,(2006) , 10.1049/IP-VIS:20050032
Zhimin Wang, Qing Song, Yeng Chai Soh, Kang Sim, An adaptive spatial information-theoretic fuzzy clustering algorithm for image segmentation Computer Vision and Image Understanding. ,vol. 117, pp. 1412- 1420 ,(2013) , 10.1016/J.CVIU.2013.05.001
Patrick Benavidez, Mohan Kumar Muppidi, Mo Jamshidi, Improving visual SLAM algorithms for use in realtime robotic applications world automation congress. pp. 1- 6 ,(2014) , 10.1109/WAC.2014.7084333
Wen-Bing Tao, Jin-Wen Tian, Jian Liu, Image segmentation by three-level thresholding based on maximum fuzzy entropy and genetic algorithm Pattern Recognition Letters. ,vol. 24, pp. 3069- 3078 ,(2003) , 10.1016/S0167-8655(03)00166-1
Sudip Kumar Adhikari, Jamuna Kanta Sing, Dipak Kumar Basu, Mita Nasipuri, A spatial fuzzy C-means algorithm with application to MRI image segmentation international conference on advances in pattern recognition. pp. 1- 6 ,(2015) , 10.1109/ICAPR.2015.7050691
Barghavi Govindarajani, Karen Panett, Sos Agaian, Progressive Edge Detection on multi-bit images using polynomial-based binarization international conference on machine learning and cybernetics. ,vol. 7, pp. 3714- 3719 ,(2008) , 10.1109/ICMLC.2008.4621051
Paul Rad, Van Lindberg, Jeff Prevost, Weining Zhang, Mo Jamshidi, ZeroVM: secure distributed processing for big data analytics world automation congress. pp. 1- 6 ,(2014) , 10.1109/WAC.2014.7084334