Computationally Efficient Segmentation Model for Collection of Images
Journal Title: International Journal of Computer Science & Engineering Technology - Year 2013, Vol 4, Issue 4
Abstract
A semisupervised optimization model for determining an efficient segmentation of many input images is proposed in this paper. The advantage of this model is twofold. Firstly, the segmentation is highly controllable as the portion chosen for segmentation can be specified by providing the labeled pixels in images for the model either offline or interactively. Secondly, the model requires only minimal tuning of model parameters during the initial stage. Once initial tuning is done, it can be used to automatically segment a large collection of images that are distinct but share similar features. It is proposed to conduct extensive experiments on various collections of biological images, it will be established that the model proposed is quite computationally efficient and effective for segmentation.
Authors and Affiliations
G. SARANYA , L. M. VARALAKSHMI , R. DEEPA
Keywords
Related Articles
- EP ID EP93290
- DOI -
- Views 122
- Downloads 0
Artificial Intelligence Techniques for DWT Based Image Watermarking
In this paper DWT and SVM based image digital watermarking has been presented. In proposed work firstly Fuzzy logic will be used for training based on membership functions and DWT. The DWT will be used for decomposition...
Outdoor Dynamic Scene Video Object Segmentation Using SRM Algorithm
In video surveillance, image segmentation in outdoor scenes is a most important and complex task. A novel approach for video object segmentation in outdoor environment is described by using SRM (Statistical Region Mergin...
An Approach to Minimize Computational and Communicational Overhead in Cloud Computing
Cloud computing has been envisioned as the next generation information technology architecture for enterprises. Cloud Computing moves the data on the cloud storage servers maintained by service providers, which deprive t...
Automatic Classification of ECG Signal for Heart Disease Diagnosis using morphological features
An Electrocardiogram (ECG) is a test that records the electrical activity of the heart to locate the abnormalities. Automatic ECG classification is an emerging tool for the cardiologists in medical diagnosis for effectiv...
Secret Detection of Sensitive Data Leakage
Surveys from many years have shown that many data leakages has been found due different problems like malicious attacks, hacking, different attacks. Approximately 28% of all data leakages are due to human mistakes which...