Implementation of Image Segmentation using Watershed Transformation
Keywords:
Edge Detection, Digital Image Processing, Image SegmentationAbstract
Image segmentation is the process of segmenting the image into various segments that could be used for the further applications such as : Image understanding model, Robotics, Image analysis, Medical diagnosis, etc. Image segmentation is the process of partitioning an image into multiple segments, so as to change the representation of an image into something that is more meaningful and easier to analyse. Segmentation technique, basically convert the complex image into the simple image.
References
- Dang Ba Khac Trieu and Tsutomu Maruyama "An implementation of a watershed algorithm based on connected components on FPGA" 978-1-4244-2796- /08/25.002008IEEE Japan,2008
- S. Chenl, J.Luol, Z.Shenl, X.Hul, L. Gaol “Segmentation of Multi-spectral Satellite Images Based on Watershed Algorithm” Institute of Remote Sensing Application, Chinese Academy of Sciences, Beijing, 100101, China 2008.
- Dang Ba Khac, Trieu Maruyama, Tsutomu Maruyama “A pipeline Implementation of a watershed algorithm on FPGA” Systems and Information Engineering, University of Tsukuba 2007
- R. i, S.Yu “Efficient Spatio-temporal Segmentation for Extracting Moving Objects in Video Sequences” Institute of Image Communication and Information Processing of Shanghai Jiao Tong University, Shanghai, P.R. July 2007
- Dang Ba Khac, Trieu Maruyama, Tsutomu Maruyama “Implementation of parallel and pipelined watershed algorithm on FPGA” Systems and Information Engineering, University of Tsukuba 2006
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