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Kandaswamy, A.
- Implementation of SPIHT Algorithm for Image Compression Using Lifting Scheme
Abstract Views :75 |
PDF Views:2
Authors
Affiliations
1 Sri Ramakrishna Institute of Technology, IN
2 Bio-Medical Engineering Department, PSG College of Technology, Coimbatore, Tamilnadu, IN
1 Sri Ramakrishna Institute of Technology, IN
2 Bio-Medical Engineering Department, PSG College of Technology, Coimbatore, Tamilnadu, IN
Source
Digital Image Processing, Vol 2, No 5 (2010), Pagination: 161-165Abstract
This paper discuss the compression of an image using lifting scheme to implement SPIHT (set partitioning of hierarchical trees). The SPIHT algorithm uses dynamic data structure that does not make it possible for use in a hardware system. Here the implementation of SPIHT algorithm using lifting scheme in system c is done, so that it becomes suitable for implementation in FPGA. The hardware implementation is done in a XILINX XC3S500E device.Keywords
Discrete Wavelet Transform, SPIHT, Lifting Scheme, Image Compression.- Improved Hybrid Segmentation of Brain MRI Tissue and Tumor Using Statistical Features
Abstract Views :101 |
PDF Views:0
Authors
Affiliations
1 Department of Electronics and Communication Engineering, PSG College of Technology, Coimbatore, IN
2 Department of Bio-Medical Engineering, PSG College of Technology, Coimbatore, IN
1 Department of Electronics and Communication Engineering, PSG College of Technology, Coimbatore, IN
2 Department of Bio-Medical Engineering, PSG College of Technology, Coimbatore, IN
Source
ICTACT Journal on Image and Video Processing, Vol 1, No 1 (2010), Pagination: 43-49Abstract
Medical image segmentation is the most essential and crucial process in order to facilitate the characterization and visualization of the structure of interest in medical images. Relevant application in neuroradiology is the segmentation of MRI data sets of the human brain into the structure classes gray matter, white matter and cerebrospinal fluid (CSF) and tumor. In this paper, brain image segmentation algorithms such as Fuzzy C means (FCM) segmentation and Kohonen means(K means) segmentation were implemented. In addition to this, new hybrid segmentation technique, namely, Fuzzy Kohonen means of image segmentation based on statistical feature clustering is proposed and implemented along with standard pixel value clustering method. The clustered segmented tissue images are compared with the Ground truth and its performance metric is also found. It is found that the feature based hybrid segmentation gives improved performance metric and improved classification accuracy rather than pixel based segmentation.Keywords
K-Means, Fuzzy C-Means, Fuzzy Kohonen Means Clustering, Distance of Clustering, Von Dongen Index.- Design and Performance Optimization of Off-Highway Diesel Engine with Mechanical Fuel Injection Equipment for TIER-IV Emission Norms
Abstract Views :157 |
PDF Views:47
Authors
Affiliations
1 Dept. of Automobile Engg., Anna University, MIT Campus, Chennai, IN
2 Dept. of Product Development Engine Testing, Ashokleyland Technical Center, Chennai, IN
1 Dept. of Automobile Engg., Anna University, MIT Campus, Chennai, IN
2 Dept. of Product Development Engine Testing, Ashokleyland Technical Center, Chennai, IN