SEGMENTATION OF OIL SPILL IMAGES USING IMPROVED FCM AND LEVEL SET METHODS.

Journal Title: International Journal on Computer Science and Engineering - Year 2011, Vol 3, Issue 7

Abstract

The main part of image processing and computer vision is Image segmentation. Image segmentation is the task of splitting a digital image into one or more regions of interest. In this paper a robust method for oil spill SAR image segmentation is explored which is already used for medical images by Bing Nan li et al. The unique FCM algorithm yields better results for segmenting noise free images, but it fails to segment images degraded by noise, outliers and other imaging defects. The optimization property of FCM is improved when it is combined with spatial information (SFCM). Level set methods uses dynamic variational boundaries for an image segmentation which embeds the time dependant PDE function. In this paper, an integrated method of spatial based FCM and level set method for oil spill segmentation is discussed.

Authors and Affiliations

V. RADHIKA, , DR. G. PADMAVATHI

Keywords

Related Articles

A new similarity measure for image segmentation

We try to extract the component image virtually hidden in the principle image. Information theoretic quantities are used to measure similarity of images in a statistical frame work. Statistical method describes the textu...

SPEAKER IDENTIFICATION USING 2-D DCT, WALSH AND HAAR ON FULL AND BLOCK SPECTROGRAM

This paper aims to provide different approaches to text dependent speaker identification using DCT, Walsh and Haar transform along with use of spectrograms. Spectrograms obtained from speech samples are used as image dat...

An Efficient Algorithm for Reliability Upper Bound of Distributed Systems with Unreliable Nodes

Abstract— The reliability of distributed systems in which the communication links are considered reliable while the computing nodes may fail with certain probabilities have been modeled by a probabilistic network or a gr...

Gradual Evolution of Sequential Sequence Mining for Customer relation database

The sequential sequence mining takes time interval between various transactions. Here we have discussed various techniques for finding large sequence from the historical database. Based on various methods the sequence wi...

Digital Image Search & Retrieval using FFT Sectors of Color Images

Abstract- This paper presents the method developed to search and retrieve similar images from a large database. The Fourier transform is used to generate the feature vectors based on the mean values of real and imaginary...

Download PDF file
  • EP ID EP102876
  • DOI -
  • Views 122
  • Downloads 0

How To Cite

V. RADHIKA, , DR. G. PADMAVATHI (2011). SEGMENTATION OF OIL SPILL IMAGES USING IMPROVED FCM AND LEVEL SET METHODS.. International Journal on Computer Science and Engineering, 3(7), 2786-2791. https://europub.co.uk/articles/-A-102876